References

2024

• Long-range language modeling with self-retrieval. Ohad Rubin, Jonathan Berant. Transactions of the Association for Computational Linguistics (TACL), 2024.

  @article{rubin2024rpt,
    author = {Ohad Rubin and Jonathan Berant},
    journal = {Transactions of the Association for Computational Linguistics (TACL)},
    title = {Long-range Language Modeling with Self-retrieval},
    volume = {3},
    year = {2024},
  }
  

  [bib] [paper]
  
• Making retrieval-augmented language models robust to irrelevant context. Ori Yoran, Tomer Wolfson, Ori Ram, Jonathan Berant. International Conference on Learning Representations (ICLR), 2024.

  @inproceedings{yoran2024making,
    author = {Ori Yoran and Tomer Wolfson and Ori Ram and Jonathan Berant},
    booktitle = {International Conference on Learning Representations (ICLR)},
    title = {Making Retrieval-Augmented Language Models Robust to Irrelevant Context},
    year = {2024},
  }
  

  [bib] [paper] [code]
  
• Never train from scratch: fair comparison of long-sequence models requires data-driven priors. Ido Amos, Jonathan Berant, Ankit Gupta. International Conference on Learning Representations (ICLR), 2024. Outstanding paper award.

  @inproceedings{amos2024never,
    author = {Ido Amos and Jonathan Berant and Ankit Gupta},
    booktitle = {International Conference on Learning Representations (ICLR)},
    title = {Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors},
    year = {2024},
  }
  

  [bib] [paper] [code]
  
• SEMQA: semi-extractive multi-source question answering. Tal Schuster, Adam D. Lelkes, Haitian Sun, Jai Gupta, Jonathan Berant, William W. Cohen, Donald Metzler. North American Association for Computational Linguistics (NAACL), 2024.

  @inproceedings{schuster2024semqa,
    author = {Tal Schuster and Adam D. Lelkes and Haitian Sun and Jai Gupta and Jonathan Berant and William W. Cohen and Donald Metzler},
    booktitle = {North American Association for Computational Linguistics (NAACL)},
    title = {{SEMQA}: Semi-Extractive Multi-Source Question Answering},
    year = {2024},
  }
  

  [bib] [paper]
  
• Helping or herding? reward model ensembles mitigate but do not eliminate reward hacking. Jacob Eisenstein, Chirag Nagpal, Alekh Agarwal, Ahmad Beirami, Alex D'Amour, DJ Dvijotham, Adam Fisch, Katherine Heller, Stephen Pfohl, Deepak Ramachandran, Peter Shaw, Jonathan Berant. Conference on Language Modeling (COLM), 2024.

  @inproceedings{eisenstein2024helping,
    author = {Jacob Eisenstein and Chirag Nagpal and Alekh Agarwal and Ahmad Beirami and Alex D'Amour and DJ Dvijotham and Adam Fisch and Katherine Heller and Stephen Pfohl and Deepak Ramachandran and Peter Shaw and Jonathan Berant},
    booktitle = {Conference on Language Modeling (COLM)},
    title = {Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking},
    year = {2024},
  }
  

  [bib] [paper] [code]
  
• Theoretical guarantees on the best-of-n alignment policy. Ahmad Beirami, Alekh Agarwal, Jonathan Berant, Alexander D'Amour, Jacob Eisenstein, Chirag Nagpal, Ananda Theertha Suresh. arXiv preprint arXiv:2401.01879, 2024.

  @article{beirami2024theoretical,
    author = {Ahmad Beirami and Alekh Agarwal and Jonathan Berant and Alexander D'Amour and Jacob Eisenstein and Chirag Nagpal and Ananda Theertha Suresh},
    journal = {arXiv preprint arXiv:2401.01879},
    title = {Theoretical guarantees on the best-of-n alignment policy},
    year = {2024},
  }
  

  [bib]
  
• Large language models for psycholinguistic plausibility pretesting. Samuel Amouyal, Aya Meltzer-Asscher, Jonathan Berant. Findings of the European Association for Computational Linguistics (Findings of EACL), 2024.

  @inproceedings{amouyal2024pretesting,
    author = {Samuel Amouyal and Aya Meltzer-Asscher and Jonathan Berant},
    booktitle = {Findings of the European Association for Computational Linguistics (Findings of EACL)},
    title = {Large Language Models for Psycholinguistic Plausibility Pretesting},
    year = {2024},
  }
  

  [bib]
  
• In-Context learning with long-context models: an in-depth exploration. Amanda Bertsch, Maor Ivgi, Uri Alon, Jonathan Berant, Matthew R. Gormley, Graham Neubig. arXiv preprint arXiv:2405.00200, 2024.

  @article{long2024bertsch,
    author = {Amanda Bertsch and Maor Ivgi and Uri Alon and Jonathan Berant and Matthew R. Gormley and Graham Neubig},
    journal = {arXiv preprint arXiv:2405.00200},
    title = {In-Context Learning with Long-Context Models: An In-Depth Exploration},
    year = {2024},
  }
  

  [bib] [paper] [code]
  
• Transforming and combining rewards for aligning large language models. Zihao Wang, Chirag Nagpal, Jonathan Berant, Jacob Eisenstein, Alex D'Amour, Sanmi Koyejo, Victor Veitch. International Conference on Machine Learning (ICML), 2024.

  @inproceedings{transforming2024wang,
    author = {Zihao Wang and Chirag Nagpal and Jonathan Berant and Jacob Eisenstein and Alex D'Amour and Sanmi Koyejo and Victor Veitch},
    booktitle = {International Conference on Machine Learning (ICML)},
    title = {Transforming and Combining Rewards for Aligning Large Language Models},
    year = {2024},
  }
  

  [bib] [paper]
  
• DOLOMITES: domain-specific long-form methodical tasks. Chaitanya Malaviya, Priyanka Agrawal, Kuzman Ganchev, Pranesh Srinivasan, Fantine Huot, Jonathan Berant, Mark Yatskar, Dipanjan Das, Mirella Lapata, Chris Alberti. Transactions of the Association for Computational Linguistics (TACL), 2024.

  @article{dolomites2024malaviya,
    author = {Chaitanya Malaviya and Priyanka Agrawal and Kuzman Ganchev and Pranesh Srinivasan and Fantine Huot and Jonathan Berant and Mark Yatskar and Dipanjan Das and Mirella Lapata and Chris Alberti},
    journal = {Transactions of the Association for Computational Linguistics (TACL) arXiv preprint arXiv:2405.05938},
    title = {{DOLOMITES}: Domain-Specific Long-Form Methodical Tasks},
    volume = {4},
    year = {2024 2024},
  }
  

  [bib] [paper] [project]
  
• Robust preference optimization through reward model distillation. Adam Fisch, Jacob Eisenstein, Vicky Zayats, Alekh Agarwal, Ahmad Beirami, Chirag Nagpal, Pete Shaw, Jonathan Berant. arXiv preprint arXiv:2405.19316, 2024.

  @article{fisch2024robust,
    author = {Adam Fisch and Jacob Eisenstein and Vicky Zayats and Alekh Agarwal and Ahmad Beirami and Chirag Nagpal and Pete Shaw and Jonathan Berant},
    journal = {arXiv preprint arXiv:2405.19316},
    title = {Robust Preference Optimization through Reward Model Distillation},
    year = {2024},
  }
  

  [bib] [paper]
  
• From loops to oops: fallback behaviors of language models under uncertainty. Maor Ivgi, Ori Yoran, Jonathan Berant, Mor Geva. arXiv preprint arXiv:2407.06071, 2024.

  @article{loops2024ivgi,
    author = {Maor Ivgi and Ori Yoran and Jonathan Berant and Mor Geva},
    journal = {arXiv preprint arXiv:2407.06071},
    title = {From Loops to Oops: Fallback Behaviors of Language Models Under Uncertainty},
    year = {2024},
  }
  

  [bib] [paper] [code]
  
• AssistantBench: can web agents solve realistic and time-consuming tasks? Ori Yoran, Samuel Amouyal, Chaitanya Malaviya, Ben Bogin, Ofir Press, Jonathan Berant. Empirical Methods in Natural Language Processing (EMNLP), 2024.

  @inproceedings{yoran2024assistant,
    author = {Ori Yoran and Samuel Amouyal and Chaitanya Malaviya and Ben Bogin and Ofir Press and Jonathan Berant},
    booktitle = {Empirical Methods in Natural Language Processing (EMNLP)},
    title = {{A}ssistant{B}ench: Can Web Agents Solve Realistic and Time-Consuming Tasks?},
    year = {2024},
  }
  

  [bib] [paper] [code] [project]
  

2023

• QAMPARI: : an open-domain question answering benchmark for questions with many answers from multiple paragraphs. Samuel Joseph Amouyal, Ohad Rubin, Ori Yoran, Tomer Wolfson, Jonathan Herzig, Jonathan Berant. Natural Language Reasoning and Structured Explanations Workshop@ACL, 2023.

  @inproceedings{amouyal2023qampari,
    author = {Samuel Joseph Amouyal and Ohad Rubin and Ori Yoran and Tomer Wolfson and Jonathan Herzig and Jonathan Berant},
    booktitle = {Natural Language Reasoning and Structured Explanations Workshop@ACL},
    title = {QAMPARI: : An Open-domain Question Answering Benchmark for Questions with Many Answers from Multiple Paragraphs},
    year = {2023},
  }
  

  [bib] [paper] [code] [project]
  
• Analyzing transformers in embedding space. Guy Dar, Mor Geva, Ankit Gupta, Jonathan Berant. Association for Computational Linguistics (ACL), 2023.

  @inproceedings{dar2023analyzing,
    author = {Guy Dar and Mor Geva and Ankit Gupta and Jonathan Berant},
    booktitle = {Association for Computational Linguistics (ACL)},
    title = {Analyzing Transformers in Embedding Space},
    year = {2023},
  }
  

  [bib] [paper] [code]
  
• Diverse demonstrations improve in-context compositional generalization. Itay Levy, Ben Bogin, Jonathan Berant. Association for Computational Linguistics (ACL), 2023.

  @inproceedings{levy2023diverse,
    author = {Itay Levy and Ben Bogin and Jonathan Berant},
    booktitle = {Association for Computational Linguistics (ACL)},
    title = {Diverse Demonstrations Improve In-context Compositional Generalization},
    year = {2023},
  }
  

  [bib] [paper] [code]
  
• What are you token about? dense retrieval as distributions over the vocabulary. Ori Ram, Liat Bezalel, Adi Zicher, Yonatan Belinkov, Jonathan Berant, Amir Globerson. Association for Computational Linguistics (ACL), 2023.

  @inproceedings{ram2023token,
    author = {Ori Ram and Liat Bezalel and Adi Zicher and Yonatan Belinkov and Jonathan Berant and Amir Globerson},
    booktitle = {Association for Computational Linguistics (ACL)},
    title = {What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary},
    year = {2023},
  }
  

  [bib] [paper]
  
• Crawling the internal knowledge-base of language models. Roi Cohen, Mor Geva, Jonathan Berant, Amir Globerson. Findings of the European Association for Computational Linguistics (Findings of EACL), 2023.

  @inproceedings{cohen2023kg,
    author = {Roi Cohen and Mor Geva and Jonathan Berant and Amir Globerson},
    booktitle = {Findings of the European Association for Computational Linguistics (Findings of EACL)},
    title = {Crawling the Internal Knowledge-Base of Language Models},
    year = {2023},
  }
  

  [bib] [paper]
  
• Translating akkadian to English with neural machine translation. Gai Gutherz, Shai Gordin, Luis Sáenz, Omer Levy, Jonathan Berant. PNAS Nexus, 2023.

  @article{gutherz2023akkadian,
    author = {Gai Gutherz and Shai Gordin and Luis Sáenz and Omer Levy and Jonathan Berant},
    journal = {PNAS Nexus},
    title = {Translating Akkadian to {E}nglish with Neural Machine Translation},
    volume = {2},
    year = {2023},
  }
  

  [bib] [paper] [code]
  
• Answering questions by meta-reasoning over multiple chains of thought. Ori Yoran, Tomer Wolfson, Ben Bogin, Uri Katz, Daniel Deutch, Jonathan Berant. Empirical Methods in Natural Language Processing (EMNLP), 2023.

  @inproceedings{yoran2023mcr,
    author = {Ori Yoran and Tomer Wolfson and Ben Bogin and Uri Katz and Daniel Deutch and Jonathan Berant},
    booktitle = {Empirical Methods in Natural Language Processing (EMNLP)},
    title = {Answering Questions by Meta-Reasoning over Multiple Chains of Thought},
    year = {2023},
  }
  

  [bib] [paper] [code]
  
• ZeroSCROLLS: a zero-shot benchmark for long text understanding. Uri Shaham, Maor Ivgi, Avia Efrat, Jonathan Berant, Omer Levy. Findings of Empirical Methods in Natural Language Processing (Findings of EMNLP), 2023.

  @inproceedings{shaham2023zeroscrolls,
    author = {Uri Shaham and Maor Ivgi and Avia Efrat and Jonathan Berant and Omer Levy},
    booktitle = {Findings of Empirical Methods in Natural Language Processing (Findings of EMNLP)},
    title = {Zero{SCROLLS}: A Zero-Shot Benchmark for Long Text Understanding},
    year = {2023},
  }
  

  [bib] [paper] [project]
  
• From pixels to UI actions: learning to follow instructions via graphical user interfaces. Peter Shaw, Mandar Joshi, James Cohan, Jonathan Berant, Panupong Pasupat, Hexiang Hu, Urvashi Khandelwal, Kenton Lee, Kristina Toutanova. Advances in Neural Information Processing Systems (NeurIPS), 2023. Spotlight talk.

  @inproceedings{shaw2023pix2ui,
    author = {Peter Shaw and Mandar Joshi and James Cohan and Jonathan Berant and Panupong Pasupat and Hexiang Hu and Urvashi Khandelwal and Kenton Lee and Kristina Toutanova},
    booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
    title = {From Pixels to {UI} Actions: Learning to Follow Instructions via Graphical User Interfaces},
    year = {2023},
  }
  

  [bib] [paper]
  
• Reward model underspecification in language model alignment. Jacob Eisenstein, Jonathan Berant, Chirag Nagpal, Alekh Agarwal, Ahmad Beirami, Alexander D'Amour, Krishnamurthy Dj Dvijotham, Katherine Heller, Stephen Pfohl, Deepak Ramachandran. Workshop on Distribution Shifts, 2023.

  @inproceedings{eisenstein2023underspecification,
    author = {Jacob Eisenstein and Jonathan Berant and Chirag Nagpal and Alekh Agarwal and Ahmad Beirami and Alexander D'Amour and Krishnamurthy Dj Dvijotham and Katherine Heller and Stephen Pfohl and Deepak Ramachandran},
    booktitle = {Workshop on Distribution Shifts},
    title = {Reward Model Underspecification in Language Model Alignment},
    year = {2023},
  }
  

  [bib] [paper]
  
• Latent trees for compositional generalization. Jonathan Herzig, Jonathan Berant, Ben Bogin. Frontiers in Artificial Intelligence and Applications, 2023.

  @article{latent2023herzig,
    author = {Jonathan Herzig and Jonathan Berant and Ben Bogin},
    journal = {Frontiers in Artificial Intelligence and Applications},
    pages = {631--644},
    title = {Latent Trees for Compositional Generalization},
    volume = {369},
    year = {2023},
  }
  

  [bib] [paper]
  

2022

• Turning tables: generating examples from semi-structured tables for endowing language models with reasoning skills. Ori Yoran, Alon Talmor, Jonathan Berant. Association for Computational Linguistics (ACL), 2022.

  @inproceedings{yoran2022tables,
    author = {Ori Yoran and Alon Talmor and Jonathan Berant},
    booktitle = {Association for Computational Linguistics (ACL)},
    title = {Turning Tables: Generating Examples from Semi-structured Tables for Endowing Language Models with Reasoning Skills},
    year = {2022},
  }
  

  [bib] [paper] [code]
  
• Weakly supervised mapping of natural language to SQL through question decomposition. Tomer Wolfson, Jonathan Berant, Daniel Deutch. Findings of North American Association for Computational Linguistics (Findings of NAACL), 2022.

  @inproceedings{wolfson2022sql2qdmr,
    author = {Tomer Wolfson and Jonathan Berant and Daniel Deutch},
    booktitle = {Findings of North American Association for Computational Linguistics (Findings of NAACL)},
    title = {Weakly Supervised Mapping of Natural Language to {SQL} through Question Decomposition},
    year = {2022},
  }
  

  [bib] [paper] [code]
  
• Learning to retrieve passages without supervision. Ori Ram, Gal Shachaf, Omer Levy, Jonathan Berant, Amir Globerson. North American Association for Computational Linguistics (NAACL), 2022.

  @inproceedings{ram2022spider,
    author = {Ori Ram and Gal Shachaf and Omer Levy and Jonathan Berant and Amir Globerson},
    booktitle = {North American Association for Computational Linguistics (NAACL)},
    title = {Learning to Retrieve Passages without Supervision},
    year = {2022},
  }
  

  [bib] [paper] [code]
  
• Learning to retrieve prompts for in-context learning. Ohad Rubin, Jonathan Herzig, Jonathan Berant. North American Association for Computational Linguistics (NAACL), 2022.

  @inproceedings{rubin2022epr,
    author = {Ohad Rubin and Jonathan Herzig and Jonathan Berant},
    booktitle = {North American Association for Computational Linguistics (NAACL)},
    title = {Learning To Retrieve Prompts for In-Context Learning},
    year = {2022},
  }
  

  [bib] [paper] [code]
  
• SCROLLS: standardized comparison over long language sequences. Uri Shaham, Elad Segal, Maor Ivgi, Avia Efrat, Ori Yoran Adi Haviv, Ankit Gupta, Wenhan Xiong, Mor Geva, Jonathan Berant, Omer Levy. Empirical Methods in Natural Language Processing (EMNLP), 2022.

  @inproceedings{shaham2022scrolls,
    author = {Uri Shaham and Elad Segal and Maor Ivgi and Avia Efrat and Ori Yoran Adi Haviv and Ankit Gupta and Wenhan Xiong and Mor Geva and Jonathan Berant and Omer Levy},
    booktitle = {Empirical Methods in Natural Language Processing (EMNLP)},
    title = {SCROLLS: Standardized CompaRison Over Long Language Sequences},
    year = {2022},
  }
  

  [bib] [paper] [code] [project]
  
• Unobserved local structures make compositional generalization hard. Ben Bogin, Shivanshu Gupta, Jonathan Berant. Empirical Methods in Natural Language Processing (EMNLP), 2022.

  @inproceedings{bogin2022unobserved,
    author = {Ben Bogin and Shivanshu Gupta and Jonathan Berant},
    booktitle = {Empirical Methods in Natural Language Processing (EMNLP)},
    title = {Unobserved Local Structures Make Compositional Generalization Hard},
    year = {2022},
  }
  

  [bib] [paper] [code]
  
• Scaling laws under the microscope: predicting transformer performance from small scale experiments. Maor Ivgi, Yair Carmon, Jonathan Berant. Findings of Empirical Methods in Natural Language Processing (Findings of EMNLP), 2022.

  @inproceedings{ivgi2022scaling,
    author = {Maor Ivgi and Yair Carmon and Jonathan Berant},
    booktitle = {Findings of Empirical Methods in Natural Language Processing (Findings of EMNLP)},
    title = {Scaling Laws Under the Microscope: Predicting Transformer Performance from Small Scale Experiments},
    year = {2022},
  }
  

  [bib] [paper]
  
• Inferring implicit relations with language models. Uri Katz, Mor Geva, Jonathan Berant. Findings of Empirical Methods in Natural Language Processing (Findings of EMNLP), 2022.

  @inproceedings{katz2022implicit,
    author = {Uri Katz and Mor Geva and Jonathan Berant},
    booktitle = {Findings of Empirical Methods in Natural Language Processing (Findings of EMNLP)},
    title = {Inferring Implicit Relations with Language Models},
    year = {2022},
  }
  

  [bib] [paper] [code]
  
• Diagonal state spaces are as effective as structured state spaces. Ankit Guptan, Albert Gu, Jonathan Berant. Advances in Neural Information Processing Systems (NeurIPS), 2022. Spotlight talk (3% of submissions).

  @inproceedings{gupta2022dss,
    author = {Ankit Guptan and Albert Gu and Jonathan Berant},
    booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
    title = {Diagonal State Spaces are as Effective as Structured State Spaces},
    year = {2022},
  }
  

  [bib] [paper] [code]
  
• Efficient long-text understanding with short-text models. Maor Ivgi, Uri Shaham, Jonathan Berant. Transactions of the Association for Computational Linguistics (TACL), 2022.

  @article{ivgi2022sled,
    author = {Maor Ivgi and Uri Shaham and Jonathan Berant},
    journal = {Transactions of the Association for Computational Linguistics (TACL)},
    title = {Efficient Long-Text Understanding with Short-Text Models},
    volume = {4},
    year = {2022},
  }
  

  [bib] [paper] [code]
  
• Training vision-language models with less bimodal supervision. Elad Segal, Ben Bogin, Jonathan Berant. Automated Knowledge Base Construction (AKBC), 2022.

  @inproceedings{segal2022bimdal,
    author = {Elad Segal and Ben Bogin and Jonathan Berant},
    booktitle = {Automated Knowledge Base Construction (AKBC)},
    title = {Training Vision-Language Models with Less Bimodal Supervision},
    year = {2022},
  }
  

  [bib]
  
• Simplifying and understanding state space models with diagonal linear rnns. Ankit Gupta, Harsh Mehta, Jonathan Berant. arXiv preprint arXiv:2212.00768, 2022.

  @article{gupta2022dlr,
    author = {Ankit Gupta and Harsh Mehta and Jonathan Berant},
    journal = {arXiv preprint arXiv:2212.00768},
    title = {Simplifying and Understanding State Space Models with Diagonal Linear RNNs},
    year = {2022},
  }
  

  [bib] [paper] [code]
  

2021

• Latent compositional representations improve systematic generalization in grounded question answering. Ben Bogin, Sanjay Subramanian, Matt Gardner, Jonathan Berant. Transactions of the Association for Computational Linguistics (TACL), 2021.

  @article{bogin2021latent,
    author = {Ben Bogin and Sanjay Subramanian and Matt Gardner and Jonathan Berant},
    journal = {Transactions of the Association for Computational Linguistics (TACL)},
    pages = {195--210},
    title = {Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering},
    volume = {9},
    year = {2021},
  }
  

  [bib] [paper] [code]
  
• Span-based semantic parsing for compositional generalization. Jonathan Herzig, Jonathan Berant. Association for Computational Linguistics (ACL), 2021.

  @inproceedings{herzig2021span,
    author = {Jonathan Herzig and Jonathan Berant},
    booktitle = {Association for Computational Linguistics (ACL)},
    title = {Span-based Semantic Parsing for Compositional Generalization},
    year = {2021},
  }
  

  [bib] [paper] [code]
  
• Scene graph to image generation with contextualized object layout refinement. Maor Ivgi, Yaniv Benny, Avichai Ben-David, Jonathan Berant, Lior Wolf. IEEE International Conference on Image Processing (ICIP), 2021.

  @inproceedings{ivgi2021scenegraph,
    author = {Maor Ivgi and Yaniv Benny and Avichai Ben-David and Jonathan Berant and Lior Wolf},
    booktitle = {IEEE International Conference on Image Processing (ICIP)},
    title = {Scene Graph to Image Generation with Contextualized Object Layout Refinement},
    year = {2021},
  }
  

  [bib] [paper]
  
• Transformer feed-forward layers are key-value memories. Mor Geva, Roei Schuster, Jonathan Berant, Omer Levy. Empirical Methods in Natural Language Processing (EMNLP), 2021.

  @inproceedings{geva2021transformer,
    author = {Mor Geva and Roei Schuster and Jonathan Berant and Omer Levy},
    booktitle = {Empirical Methods in Natural Language Processing (EMNLP)},
    title = {Transformer Feed-Forward Layers Are Key-Value Memories},
    year = {2021},
  }
  

  [bib] [paper]
  
• Evaluating the evaluation of diversity in natural language generation. Guy Tevet, Jonathan Berant. European Association for Computational Linguistics (EACL), 2021.

  @inproceedings{tevet2021diversity,
    author = {Guy Tevet and Jonathan Berant},
    booktitle = {European Association for Computational Linguistics (EACL)},
    title = {Evaluating the Evaluation of Diversity in Natural Language Generation},
    year = {2021},
  }
  

  [bib] [paper] [code]
  
• Few-Shot question answering by pretraining span selection. Ori Ram, Yuval Kirstain, Jonathan Berant, Amir Globerson, Omer Levy. Association for Computational Linguistics (ACL), 2021.

  @inproceedings{ram2021fewshotqa,
    author = {Ori Ram and Yuval Kirstain and Jonathan Berant and Amir Globerson and Omer Levy},
    booktitle = {Association for Computational Linguistics (ACL)},
    title = {Few-Shot Question Answering by Pretraining Span Selection},
    year = {2021},
  }
  

  [bib] [paper] [code]
  
• Did aristotle use a laptop?a question answering benchmark with implicit reasoning strategies. Mor Geva, Daniel Khashabi, Elad Segal, Tushar Khot, Dan Roth, Jonathan Berant. Transactions of the Association for Computational Linguistics (TACL), 2021.

  @article{geva2021strategyqa,
    author = {Mor Geva and Daniel Khashabi and Elad Segal and Tushar Khot and Dan Roth and Jonathan Berant},
    journal = {Transactions of the Association for Computational Linguistics (TACL)},
    pages = {346--361},
    title = {Did Aristotle Use a Laptop?A Question Answering Benchmark with Implicit Reasoning Strategies},
    volume = {9},
    year = {2021},
  }
  

  [bib] [paper] [project]
  
• BERTese: learning to speak to BERT. Adi Haviv, Jonathan Berant, Amir Globerson. European Association for Computational Linguistics (EACL), 2021.

  @inproceedings{haviv2021bertese,
    author = {Adi Haviv and Jonathan Berant and Amir Globerson},
    booktitle = {European Association for Computational Linguistics (EACL)},
    title = {{BERT}ese: Learning to Speak to {BERT}},
    year = {2021},
  }
  

  [bib] [paper] [code]
  
• SmBoP: semi-autoregressive bottom-up semantic parsing. Ohad Rubin, Jonathan Berant. North American Association for Computational Linguistics (NAACL), 2021.

  @inproceedings{rubin2021smbop,
    author = {Ohad Rubin and Jonathan Berant},
    booktitle = {North American Association for Computational Linguistics (NAACL)},
    title = {Sm{B}o{P}: Semi-autoregressive Bottom-up Semantic Parsing},
    year = {2021},
  }
  

  [bib] [paper] [code] [demo]
  
• MultiModalQA: complex question answering over text, tables and images. Alon Talmor, Ori Yoran, Amnon Catav, Dan Lahav, Yizhong Wang, Akari Asai, Gabriel Ilharco, Hannaneh Hajishirzi, Jonathan Berant. International Conference on Learning Representations (ICLR), 2021.

  @inproceedings{talmor2021multimodalqa,
    author = {Alon Talmor and Ori Yoran and Amnon Catav and Dan Lahav and Yizhong Wang and Akari Asai and Gabriel Ilharco and Hannaneh Hajishirzi and Jonathan Berant},
    booktitle = {International Conference on Learning Representations (ICLR)},
    title = {MultiModalQA: Complex Question Answering Over Text, Tables And Images},
    year = {2021},
  }
  

  [bib] [paper] [code] [project]
  
• Value-aware approximate attention. Ankit Gupta, Jonathan Berant. Empirical Methods in Natural Language Processing (EMNLP), 2021.

  @inproceedings{gupta2021value,
    author = {Ankit Gupta and Jonathan Berant},
    booktitle = {Empirical Methods in Natural Language Processing (EMNLP)},
    title = {Value-aware Approximate Attention},
    year = {2021},
  }
  

  [bib] [paper]
  
• Achieving model robustness through discrete adversarial training. Maor Ivgi, Jonathan Berant. Empirical Methods in Natural Language Processing (EMNLP), 2021.

  @inproceedings{ivgi2021robustness,
    author = {Maor Ivgi and Jonathan Berant},
    booktitle = {Empirical Methods in Natural Language Processing (EMNLP)},
    title = {Achieving Model Robustness through Discrete Adversarial Training},
    year = {2021},
  }
  

  [bib] [paper] [code]
  
• What's in your head? emergent behaviour in multi-task transformer models. Mor Geva, Uri Katz, Aviv Ben-Arie, Jonathan Berant. Empirical Methods in Natural Language Processing (EMNLP), 2021.

  @inproceedings{geva2021head,
    author = {Mor Geva and Uri Katz and Aviv Ben-Arie and Jonathan Berant},
    booktitle = {Empirical Methods in Natural Language Processing (EMNLP)},
    title = {What's in your Head? Emergent Behaviour in Multi-Task Transformer Models},
    year = {2021},
  }
  

  [bib] [paper]
  
• Question decomposition with dependency graphs. Matan Hasson, Jonathan Berant. Automated Knowledge Base Construction (AKBC), 2021.

  @inproceedings{hasson2021qdmr,
    author = {Matan Hasson and Jonathan Berant},
    booktitle = {Automated Knowledge Base Construction (AKBC)},
    title = {Question Decomposition with Dependency Graphs},
    year = {2021},
  }
  

  [bib] [paper] [code]
  
• Memory-efficient transformers via top-k attention. Ankit Gupta, Guy Dar, Shaya Goodman, David Ciprut, Jonathan Berant. Workshop on Simple and Efficient Natural Language Processing, 2021.

  @inproceedings{gupta2021memory,
    author = {Ankit Gupta and Guy Dar and Shaya Goodman and David Ciprut and Jonathan Berant},
    booktitle = {Workshop on Simple and Efficient Natural Language Processing},
    title = {Memory-efficient Transformers via Top-k Attention},
    year = {2021},
  }
  

  [bib] [paper] [code]
  
• CommonsenseQA 2.0: exposing the limits of AI through gamification. Alon Talmor, Ori Yoran, Ronan Le Bras, Chandra Bhagavatula, Yoav Goldberg, Yejin Choi, Jonathan Berant. Advances in Neural Information Processing Systems (NeurIPS), 2021. Oral presentation.

  @inproceedings{talmor2021csqa,
    author = {Alon Talmor and Ori Yoran and Ronan Le Bras and Chandra Bhagavatula and Yoav Goldberg and Yejin Choi and Jonathan Berant},
    booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
    title = {Commonsense{QA} 2.0: Exposing the Limits of {AI} through Gamification},
    year = {2021},
  }
  

  [bib] [paper] [code] [project]
  
• Break, perturb, build: automatic perturbation of reasoning pathsthrough question decomposition. Mor Geva, Tomer Wolfson, Jonathan Berant. Transactions of the Association for Computational Linguistics (TACL), 2021.

  @article{geva2021bpb,
    author = {Mor Geva and Tomer Wolfson and Jonathan Berant},
    journal = {Transactions of the Association for Computational Linguistics (TACL)},
    title = {Break, Perturb, Build: Automatic Perturbation of Reasoning Pathsthrough Question Decomposition},
    volume = {1},
    year = {2021},
  }
  

  [bib] [paper] [code]
  
• COVR: a test-bed for visually grounded compositional generalization with real images. Ben Bogin, Shivanshu Gupta, Matt Gardner, Jonathan Berant. Empirical Methods in Natural Language Processing (EMNLP), 2021.

  @inproceedings{bogin2021covr,
    author = {Ben Bogin and Shivanshu Gupta and Matt Gardner and Jonathan Berant},
    booktitle = {Empirical Methods in Natural Language Processing (EMNLP)},
    title = {{COVR}: A Test-Bed for Visually Grounded Compositional Generalization with Real Images},
    year = {2021},
  }
  

  [bib] [paper] [code] [project]
  
• Finding needles in a haystack: sampling structurally-diverse training sets from synthetic data for compositional generalization. Inbar Oren, Jonathan Herzig, Jonathan Berant. Empirical Methods in Natural Language Processing (EMNLP), 2021.

  @inproceedings{oren2021needles,
    author = {Inbar Oren and Jonathan Herzig and Jonathan Berant},
    booktitle = {Empirical Methods in Natural Language Processing (EMNLP)},
    title = {Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization},
    year = {2021},
  }
  

  [bib] [paper] [code]
  

2020

• Differentiable scene graphs. Moshiko Raboh, Roei Herzig, Gal Chechik, Jonathan Berant, Amir Globerson. Winter Conference on Applications of Computer Vision (WACV), 2020.

  @inproceedings{latentgraph2020raboh,
    author = {Moshiko Raboh and Roei Herzig and Gal Chechik and Jonathan Berant and Amir Globerson},
    booktitle = {Winter Conference on Applications of Computer Vision (WACV)},
    title = {Differentiable Scene Graphs},
    year = {2020},
  }
  

  [bib] [paper] [code]
  
• oLMpics -- on what language model pre-training captures. Alon Talmor, Yanai Elazar, Yoav Goldberg, Jonathan Berant. Transactions of the Association for Computational Linguistics (TACL), 2020.

  @article{talmor2020olmpics,
    author = {Alon Talmor and Yanai Elazar and Yoav Goldberg and Jonathan Berant},
    journal = {Transactions of the Association for Computational Linguistics (TACL)},
    pages = {743--758},
    title = {oLMpics -- On what Language Model Pre-training Captures},
    volume = {8},
    year = {2020},
  }
  

  [bib] [paper] [code]
  
• Break it down: a question understanding benchmark. Tomer Wolfson, Mor Geva, Ankit Gupta, Matt Gardner, Yoav Goldberg, Daniel Deutch, Jonathan Berant. Transactions of the Association for Computational Linguistics (TACL), 2020.

  @article{wolfson2020break,
    author = {Tomer Wolfson and Mor Geva and Ankit Gupta and Matt Gardner and Yoav Goldberg and Daniel Deutch and Jonathan Berant},
    journal = {Transactions of the Association for Computational Linguistics (TACL)},
    pages = {183--198},
    title = {Break It Down: A Question Understanding Benchmark},
    volume = {8},
    year = {2020},
  }
  

  [bib] [paper] [code] [project]
  
• Evaluating NLP models via contrast sets. Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hanna Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou. Findings of Empirical Methods in Natural Language Processing (Findings of EMNLP), 2020.

  @inproceedings{gardner2020contrast,
    author = {Matt Gardner and Yoav Artzi and Victoria Basmova and Jonathan Berant and Ben Bogin and Sihao Chen and Pradeep Dasigi and Dheeru Dua and Yanai Elazar and Ananth Gottumukkala and Nitish Gupta and Hanna Hajishirzi and Gabriel Ilharco and Daniel Khashabi and Kevin Lin and Jiangming Liu and Nelson F. Liu and Phoebe Mulcaire and Qiang Ning and Sameer Singh and Noah A. Smith and Sanjay Subramanian and Reut Tsarfaty and Eric Wallace and Ally Zhang and Ben Zhou},
    booktitle = {Findings of Empirical Methods in Natural Language Processing (Findings of EMNLP)},
    title = {Evaluating {NLP} Models via Contrast Sets},
    year = {2020},
  }
  

  [bib] [paper] [project]
  
• Injecting numerical reasoning skills into language models. Mor Geva, Ankit Gupta, Jonathan Berant. Association for Computational Linguistics (ACL), 2020.

  @inproceedings{geva2020injecting,
    author = {Mor Geva and Ankit Gupta and Jonathan Berant},
    booktitle = {Association for Computational Linguistics (ACL)},
    title = {Injecting Numerical Reasoning Skills into Language Models},
    year = {2020},
  }
  

  [bib] [paper] [code]
  
• Explaining question answering models through text generation. Veronica Latcinnik, Jonathan Berant. arXiv preprint arXiv:2004.05569, 2020.

  @article{latcinnik2020explaining,
    author = {Veronica Latcinnik and Jonathan Berant},
    journal = {arXiv preprint arXiv:2004.05569},
    title = {Explaining Question Answering Models through Text Generation},
    year = {2020},
  }
  

  [bib] [paper] [code]
  
• Obtaining faithful interpretations from compositional neural networks. Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner. Association for Computational Linguistics (ACL), 2020.

  @inproceedings{subramanian2020interpretability,
    author = {Sanjay Subramanian and Ben Bogin and Nitish Gupta and Tomer Wolfson and Sameer Singh and Jonathan Berant and Matt Gardner},
    booktitle = {Association for Computational Linguistics (ACL)},
    title = {Obtaining Faithful Interpretations from Compositional Neural Networks},
    year = {2020},
  }
  

  [bib] [paper] [code]
  
• A simple and effective model for answering multi-span questions. Elad Segal, Avia Efrat, Mor Shoham, Amir Globerson, Jonathan Berant. Empirical Methods in Natural Language Processing (EMNLP), 2020.

  @inproceedings{segal2020multispan,
    author = {Elad Segal and  Avia Efrat and Mor Shoham and Amir Globerson and Jonathan Berant},
    booktitle = {Empirical Methods in Natural Language Processing (EMNLP)},
    title = {A Simple and Effective Model for Answering Multi-span Questions},
    year = {2020},
  }
  

  [bib] [paper] [code]
  
• GMAT: global memory augmentation for transformers. Ankit Gupta, Jonathan Berant. arXiv preprint arXiv:2006.03274, 2020.

  @article{gupta2020gmat,
    author = {Ankit Gupta and Jonathan Berant},
    journal = {arXiv preprint arXiv:2006.03274},
    title = {{GMAT}: Global Memory Augmentation for Transformers},
    year = {2020},
  }
  

  [bib] [paper] [code]
  
• Leaf-Of-Thought: teaching pre-trained models to systematically reason over implicit knowledge. Alon Talmor, Oyvind Tafjord, Peter Clark, Yoav Goldberg, Jonathan Berant. Advances in Neural Information Processing Systems (NeurIPS), 2020. Spotlight talk (3% of submissions).

  @inproceedings{talmor2020teaching,
    author = {Alon Talmor and Oyvind Tafjord and Peter Clark and Yoav Goldberg and Jonathan Berant},
    booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
    title = {Leaf-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge},
    year = {2020},
  }
  

  [bib] [paper] [code]
  
• A simple global neural discourse parser. Yichu Zhou, Omri Koshorek, Vivek Srikumar, Jonathan Berant. arXiv preprint arXiv:2009.01312, 2020.

  @article{zhou2020rst,
    author = {Yichu Zhou and Omri Koshorek and Vivek Srikumar and Jonathan Berant},
    journal = {arXiv preprint arXiv:2009.01312},
    title = {A Simple Global Neural Discourse Parser},
    year = {2020},
  }
  

  [bib] [paper]
  
• Improving compositional generalization in semantic parsing. Inbar Oren, Jonathan Herzig, Nitish Gupta, Matt Gardner, Jonathan Berant. Findings of Empirical Methods in Natural Language Processing (Findings of EMNLP), 2020.

  @inproceedings{oren2020compositionality,
    author = {Inbar Oren and Jonathan Herzig and Nitish Gupta and Matt Gardner and Jonathan Berant},
    booktitle = {Findings of Empirical Methods in Natural Language Processing (Findings of EMNLP)},
    title = {Improving Compositional Generalization in Semantic Parsing},
    year = {2020},
  }
  

  [bib] [paper] [code]
  
• Learning object detection from captions via textual scene attributes. Achiya Jerbi, Roei Herzig, Jonathan Berant, Gal Chechik, Amir Globerson. arXiv preprint arXiv:2009.14558, 2020.

  @article{jerbi2020objdet,
    author = {Achiya Jerbi and Roei Herzig and Jonathan Berant and Gal Chechik and Amir Globerson},
    journal = {arXiv preprint arXiv:2009.14558},
    title = {Learning Object Detection from Captions via Textual Scene Attributes},
    year = {2020},
  }
  

  [bib] [paper]
  
• Reading akkadian cuneiform using natural language processing. Shai Gordin, Gai Gutherz, Ariel Elazary, Avital Romach, Enrique Jimenez, Jonathan Berant, Yoram Cohen. PLOS ONE, 2020.

  @article{gordin2020akkadian,
    author = {Shai Gordin and Gai Gutherz and Ariel Elazary and Avital Romach and Enrique Jimenez and Jonathan Berant and Yoram Cohen},
    journal = {PLOS ONE},
    title = {Reading Akkadian cuneiform using natural language processing},
    volume = {15},
    year = {2020},
  }
  

  [bib] [paper] [code]
  

2019

• Explaining queries over web tables to non-experts. Jonathan Berant, Daniel Deutch, Amir Globerson, Tova Milo, Tomer Wolfson. International Conference on Data Engineering (ICDE), 2019.

  @inproceedings{berant2019explaining,
    author = {Jonathan Berant and Daniel Deutch and Amir Globerson and Tova Milo and Tomer Wolfson},
    booktitle = {International Conference on Data Engineering (ICDE)},
    title = {Explaining Queries over Web Tables to Non-Experts},
    year = {2019},
  }
  

  [bib] [paper] [techreport]
  
• Value-based search in execution space for mapping instructions to programs. Dor Muhlgay, Jonathan Herzig, Jonathan Berant. North American Association for Computational Linguistics (NAACL), 2019.

  @inproceedings{muhlgay2019value,
    author = {Dor Muhlgay and Jonathan Herzig and Jonathan Berant},
    booktitle = {North American Association for Computational Linguistics (NAACL)},
    title = {Value-based Search in Execution Space for Mapping Instructions to Programs},
    year = {2019},
  }
  

  [bib] [paper] [code]
  
• CommonsenseQA: a question answering challenge targeting commonsense knowledge. Alon Talmor, Jonathan Herzig, Nicholas Lourie, Jonathan Berant. North American Association for Computational Linguistics (NAACL), 2019. Best resource paper award.

  @inproceedings{talmor2019commonsenseqa,
    author = {Alon Talmor and Jonathan Herzig and Nicholas Lourie and Jonathan Berant},
    booktitle = {North American Association for Computational Linguistics (NAACL)},
    title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},
    year = {2019},
  }
  

  [bib] [paper] [code] [project]
  
• Evaluating text GANs as language models. Guy Tevet, Gavriel Habib, Vered Shwartz, Jonathan Berant. North American Association for Computational Linguistics (NAACL), 2019.

  @inproceedings{tevet2019evaluating,
    author = {Guy Tevet and Gavriel Habib and Vered Shwartz and Jonathan Berant},
    booktitle = {North American Association for Computational Linguistics (NAACL)},
    title = {Evaluating Text {GAN}s as Language Models},
    year = {2019},
  }
  

  [bib] [paper] [code]
  
• Neural network gradient-based learning of black-box function interfaces. Alon Jacovi, Guy Hadash, Einat Kermany, Boaz Carmeli, Ofer Lavi, George Kour, Jonathan Berant. International Conference on Learning Representations (ICLR), 2019.

  @inproceedings{jacovi2019blackbox,
    author = {Alon Jacovi and Guy Hadash and Einat Kermany and Boaz Carmeli and Ofer Lavi and George Kour and Jonathan Berant},
    booktitle = {International Conference on Learning Representations (ICLR)},
    title = {Neural network gradient-based learning of black-box function interfaces},
    year = {2019},
  }
  

  [bib] [paper]
  
• DiscoFuse: a large-scale dataset for discourse-based sentence fusion. Mor Geva, Eric Malmi, Idan Szpektor, Jonathan Berant. North American Association for Computational Linguistics (NAACL), 2019.

  @inproceedings{geva2019discofuse,
    author = {Mor Geva and Eric Malmi and Idan Szpektor and Jonathan Berant},
    booktitle = {North American Association for Computational Linguistics (NAACL)},
    title = {Disco{F}use: A Large-Scale Dataset for Discourse-based Sentence Fusion},
    year = {2019},
  }
  

  [bib] [paper] [project]
  
• White-to-Black: efficient distillation of black-box adversarial attacks. Or Gorodissky, Yotam Gil, Yoav Chai, Jonathan Berant. North American Association for Computational Linguistics (NAACL), 2019.

  @inproceedings{gorodissky2019white,
    author = {Or Gorodissky and Yotam Gil and Yoav Chai and Jonathan Berant},
    booktitle = {North American Association for Computational Linguistics (NAACL)},
    title = {White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks},
    year = {2019},
  }
  

  [bib] [paper] [code]
  
• Representing schema structure with graph neural networks for text-to-SQL parsing. Ben Bogin, Matt Gardner, Jonathan Berant. Association for Computational Linguistics (ACL), 2019.

  @inproceedings{bogin2019representing,
    author = {Ben Bogin and Matt Gardner and Jonathan Berant},
    booktitle = {Association for Computational Linguistics (ACL)},
    title = {Representing Schema Structure with Graph Neural Networks for Text-to-{SQL} Parsing},
    year = {2019},
  }
  

  [bib] [paper] [code]
  
• MultiQA: an empirical investigation of generalization and transfer in reading comprehension. Alon Talmor, Jonathan Berant. Association for Computational Linguistics (ACL), 2019.

  @inproceedings{talmor2019generalization,
    author = {Alon Talmor and Jonathan Berant},
    booktitle = {Association for Computational Linguistics (ACL)},
    title = {Multi{QA}: An Empirical Investigation of Generalization and Transfer in Reading Comprehension},
    year = {2019},
  }
  

  [bib] [paper] [code] [project]
  
• Grammar-based neural text-to-SQL generation. Kevin Lin, Ben Bogin, Mark Neumann, Jonathan Berant, Matt Gardner. arXiv preprint arXiv:1905.13326, 2019.

  @article{lin2019grammar,
    author = {Kevin Lin and Ben Bogin and Mark Neumann and Jonathan Berant and Matt Gardner},
    journal = {arXiv preprint arXiv:1905.13326},
    title = {Grammar-based Neural Text-to-{SQL} Generation},
    year = {2019},
  }
  

  [bib] [paper]
  
• Global reasoning over database structures for text-to-SQL parsing. Ben Bogin, Matt Gardner, Jonathan Berant. Empirical Methods in Natural Language Processing (EMNLP), 2019.

  @inproceedings{bogin2019global,
    author = {Ben Bogin and Matt Gardner and Jonathan Berant},
    booktitle = {Empirical Methods in Natural Language Processing (EMNLP)},
    title = {Global Reasoning over Database Structures for Text-to-{SQL} Parsing},
    year = {2019},
  }
  

  [bib] [paper] [code]
  
• Are we modeling the task or the annotator? an investigation of annotator bias in natural language understanding datasets. Mor Geva, Yoav Goldberg, Jonathan Berant. Empirical Methods in Natural Language Processing (EMNLP), 2019.

  @inproceedings{geva2019annotator,
    author = {Mor Geva and Yoav Goldberg and Jonathan Berant},
    booktitle = {Empirical Methods in Natural Language Processing (EMNLP)},
    title = {Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets},
    year = {2019},
  }
  

  [bib] [paper] [code]
  
• Don't paraphrase, detect! rapid and effective data collection for semantic parsing. Jonathan Herzig, Jonathan Berant. Empirical Methods in Natural Language Processing (EMNLP), 2019.

  @inproceedings{herzig2019detect,
    author = {Jonathan Herzig and Jonathan Berant},
    booktitle = {Empirical Methods in Natural Language Processing (EMNLP)},
    title = {Don't paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing},
    year = {2019},
  }
  

  [bib] [paper] [code]
  
• On the limits of learning to actively learn semantic representations. Omri Koshorek, Gabriel Stanovsky, Yichu Zhou, Vivek Srikumar, Jonathan Berant. Computational Natural Language Learning (CoNLL), 2019. Best paper honorable mention.

  @inproceedings{koshorek2019active,
    author = {Omri Koshorek and Gabriel Stanovsky and Yichu Zhou and Vivek Srikumar and Jonathan Berant},
    booktitle = {Computational Natural Language Learning (CoNLL)},
    title = {On the Limits of Learning to Actively Learn Semantic Representations},
    year = {2019},
  }
  

  [bib] [paper] [code]
  
• Question answering is a format; when is it useful? Matt Gardner, Jonathan Berant, Hannaneh Hajishirzi, Alon Talmor, Sewon Min. arXiv preprint arXiv:1909.11291, 2019.

  @article{garder2019qaforamt,
    author = {Matt Gardner and Jonathan Berant and Hannaneh Hajishirzi and Alon Talmor and Sewon Min},
    journal = {arXiv preprint arXiv:1909.11291},
    title = {Question Answering is a Format; When is it Useful?},
    year = {2019},
  }
  

  [bib] [paper]
  
• On making reading comprehension more comprehensive. Matt Gardner, Jonathan Berant, Hannaneh Hajishirzi, Alon Talmor, Sewon Min. Workshop on Machine Reading for Question Answering (MRQA), 2019.

  @inproceedings{gardner2019rc,
    author = {Matt Gardner and Jonathan Berant and Hannaneh Hajishirzi and Alon Talmor and Sewon Min},
    booktitle = {Workshop on Machine Reading for Question Answering (MRQA)},
    title = {On making reading comprehension more comprehensive},
    year = {2019},
  }
  

  [bib] [paper]
  

2018

• Weakly-supervised semantic parsing with abstract examples. Omer Goldman, Veronica Latcinnik, Udi Naveh, Amir Globerson, Jonathan Berant. Association for Computational Linguistics (ACL), 2018.

  @inproceedings{goldman2018weakly,
    author = {Omer Goldman and Veronica Latcinnik and Udi Naveh and Amir Globerson and Jonathan Berant},
    booktitle = {Association for Computational Linguistics (ACL)},
    title = {Weakly-supervised Semantic Parsing with Abstract Examples},
    year = {2018},
  }
  

  [bib] [paper] [code]
  
• Contextualized word representations for reading comprehension. Shimi Salant, Jonathan Berant. North American Association for Computational Linguistics (NAACL), 2018.

  @inproceedings{salant2018contextualized,
    author = {Shimi Salant and Jonathan Berant},
    booktitle = {North American Association for Computational Linguistics (NAACL)},
    title = {Contextualized Word Representations for Reading Comprehension},
    year = {2018},
  }
  

  [bib] [paper] [code]
  
• Polyglot semantic parsing in APIs. Kyle Richardson, Jonathan Berant, Jonas Kuhn. North American Association for Computational Linguistics (NAACL), 2018.

  @inproceedings{richardson2018polyglot,
    author = {Kyle Richardson and Jonathan Berant and Jonas Kuhn},
    booktitle = {North American Association for Computational Linguistics (NAACL)},
    title = {Polyglot Semantic Parsing in {API}s},
    year = {2018},
  }
  

  [bib] [paper] [code]
  
• Text segmentation as a supervised learning task. Omri Koshorek, Noam Mor, Adir Cohen, Michael Rotman, Jonathan Berant. North American Association for Computational Linguistics (NAACL), 2018.

  @inproceedings{koshorek2018segmentation,
    author = {Omri Koshorek and Noam Mor and Adir Cohen and Michael Rotman and Jonathan Berant},
    booktitle = {North American Association for Computational Linguistics (NAACL)},
    title = {Text Segmentation as a Supervised Learning Task},
    year = {2018},
  }
  

  [bib] [paper] [code]
  
• The web as knowledge-base for answering complex questions. Alon Talmor, Jonathan Berant. North American Association for Computational Linguistics (NAACL), 2018.

  @inproceedings{talmor2018web,
    author = {Alon Talmor and Jonathan Berant},
    booktitle = {North American Association for Computational Linguistics (NAACL)},
    title = {The Web as Knowledge-base for Answering Complex Questions},
    year = {2018},
  }
  

  [bib] [paper] [code] [project]
  
• Mapping images to scene graphs with permutation-invariant structured prediction. Roei Herzig, Moshiko Raboh, Gal Chechik, Jonathan Berant, Amir Globerson. Advances in Neural Information Processing Systems (NeurIPS), 2018.

  @inproceedings{herzig2018mapping,
    author = {Roei Herzig and Moshiko Raboh and Gal Chechik and Jonathan Berant and Amir Globerson},
    booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
    title = {Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction},
    year = {2018},
  }
  

  [bib] [paper]
  
• Decoupling structure and lexicon for zero-shot semantic parsing. Jonathan Herzig, Jonathan Berant. Empirical Methods in Natural Language Processing (EMNLP), 2018.

  @inproceedings{herzig2018zeroshot,
    author = {Jonathan Herzig and Jonathan Berant},
    booktitle = {Empirical Methods in Natural Language Processing (EMNLP)},
    title = {Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing},
    year = {2018},
  }
  

  [bib] [paper] [code]
  
• Learning to search in long documents using document structure. Mor Geva, Jonathan Berant. International Conference on Computational Linguistics (COLING), 2018.

  @inproceedings{geva2018long,
    author = {Mor Geva and Jonathan Berant},
    booktitle = {International Conference on Computational Linguistics (COLING)},
    title = {Learning to Search in Long Documents using Document Structure},
    year = {2018},
  }
  

  [bib] [paper] [code]
  
• Memory augmented policy optimization for program synthesis with generalization. Chen Liang, Mohammad Norouzi, Jonathan Berant, Quoc Le, Ni Lao. Advances in Neural Information Processing Systems (NeurIPS), 2018. Spotlight talk (4% of submissions).

  @inproceedings{liang2018mapo,
    author = {Chen Liang and Mohammad Norouzi and Jonathan Berant and Quoc Le and Ni Lao},
    booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
    title = {Memory Augmented Policy Optimization for Program Synthesis with Generalization},
    year = {2018},
  }
  

  [bib] [paper] [code]
  
• Emergence of communication in an interactive world with consistent speakers. Ben Bogin, Mor Geva, Jonathan Berant. Emergent Communication Workshop@NIPS, 2018.

  @inproceedings{bogin2018emergence,
    author = {Ben Bogin and Mor Geva and Jonathan Berant},
    booktitle = {Emergent Communication Workshop@NIPS},
    title = {Emergence of Communication in an Interactive World with Consistent Speakers},
    year = {2018},
  }
  

  [bib] [paper]
  
• Repartitioning of the ComplexWebQuestions dataset. Alon Talmor, Jonathan Berant. arXiv preprint arXiv:1807.09623, 2018.

  @article{talmor2018repartitioning,
    author = {Alon Talmor and Jonathan Berant},
    journal = {arXiv preprint arXiv:1807.09623},
    title = {Repartitioning of the {ComplexWebQuestions} Dataset},
    year = {2018},
  }
  

  [bib]
  

2017

• Neural semantic parsing over multiple knowledge-bases. Jonathan Herzig, Jonathan Berant. Association for Computational Linguistics (ACL), 2017.

  @inproceedings{herzig2017multi,
    author = {Jonathan Herzig and Jonathan Berant},
    booktitle = {Association for Computational Linguistics (ACL)},
    title = {Neural Semantic Parsing over Multiple Knowledge-bases},
    year = {2017},
  }
  

  [bib] [paper] [CodaLab]
  
• Language generation with recurrent generative adversarial networks without pre-training. Ofir Press, Amir Bar, Ben Bogin, Jonathan Berant, Lior Wolf. Fist Workshop on Learning to Generate Natural Language@ICML, 2017.

  @inproceedings{press2017language,
    author = {Ofir Press and Amir Bar and Ben Bogin and Jonathan Berant and Lior Wolf},
    booktitle = {Fist Workshop on Learning to Generate Natural Language@ICML},
    title = {Language Generation with Recurrent Generative Adversarial Networks without Pre-training},
    year = {2017},
  }
  

  [bib] [paper]
  
• Evaluating semantic parsing against a simple web-based question answering model. Alon Talmor, Mor Geva, Jonathan Berant. *SEM, 2017.

  @inproceedings{talmor2017evaluating,
    author = {Alon Talmor and Mor Geva and Jonathan Berant},
    booktitle = {*SEM},
    title = {Evaluating Semantic Parsing against a Simple Web-based Question Answering Model},
    year = {2017},
  }
  

  [bib] [paper] [CodaLab]
  
• Inducing regular grammars using recurrent neural networks. Mor Cohen, Avi Calciularu, Idan Rejwan, Jonathan Berant. Workshop on Learning and Reasoning: Principles and Applications to Everyday Spatial and Temporal Knowledge, 2017.

  @inproceedings{cohen2017inducing,
    author = {Mor Cohen and Avi Calciularu and Idan Rejwan and Jonathan Berant},
    booktitle = {Workshop on Learning and Reasoning: Principles and Applications to Everyday Spatial and Temporal Knowledge},
    title = {Inducing Regular Grammars Using Recurrent Neural Networks},
    year = {2017},
  }
  

  [bib] [paper]
  
• Neural symbolic machines: learning semantic parsers on Freebase with weak supervision. Chen Liang, Jonathan Berant, Quoc Le, Kenneth D. Forbus, Ni Lao. Association for Computational Linguistics (ACL), 2017.

  @inproceedings{liang2017nsm,
    author = {Chen Liang and Jonathan Berant and Quoc Le and Kenneth D. Forbus, Ni Lao},
    booktitle = {Association for Computational Linguistics (ACL)},
    title = {Neural Symbolic Machines: Learning Semantic Parsers on {F}reebase with Weak Supervision},
    year = {2017},
  }
  

  [bib] [paper]
  
• Coarse-to-Fine question answering for long documents. Eunsol Choi, Daniel Hewlett, Alexandre Lacoste, Illia Polosukhin, Jakob Uszkoreit, Jonathan Berant. Association for Computational Linguistics (ACL), 2017.

  @inproceedings{choi2017coarse,
    author = {Eunsol Choi and Daniel Hewlett and Alexandre Lacoste and Illia Polosukhin and Jakob Uszkoreit and Jonathan Berant},
    booktitle = {Association for Computational Linguistics (ACL)},
    title = {Coarse-to-Fine Question Answering for Long Documents},
    year = {2017},
  }
  

  [bib] [paper]
  
• Learning recurrent span representations for extractive question answering. Kenton Lee, Shimi Salant, Tom Kwiatkowski, Ankur Parikh, Dipanjan Das, Jonathan Berant. arXiv, 2017.

  @article{lee2017rasor,
    author = {Kenton Lee and Shimi Salant and Tom Kwiatkowski and Ankur Parikh and Dipanjan Das and Jonathan Berant},
    journal = {arXiv},
    title = {Learning Recurrent Span Representations for Extractive Question Answering},
    year = {2017},
  }
  

  [bib] [paper]
  

2016

• Learning to generalize to new compositions in image understanding. Yuval Atzmon, Jonathan Berant, Vahid Kezami, Amir Globerson, Gal Chechik. arXiv preprint arXiv:1608.07639, 2016.

  @article{atzmon2016compositions,
    author = {Yuval Atzmon and Jonathan Berant and Vahid Kezami and Amir Globerson and Gal Chechik},
    journal = {arXiv preprint arXiv:1608.07639},
    title = {Learning to generalize to new compositions in image understanding},
    year = {2016},
  }
  

  [bib] [paper]
  

2015

• Building a semantic parser overnight. Yushi Wang, Jonathan Berant, Percy Liang. Association for Computational Linguistics (ACL), 2015.

  @inproceedings{wang2015overnight,
    author = {Yushi Wang and Jonathan Berant and Percy Liang},
    booktitle = {Association for Computational Linguistics (ACL)},
    title = {Building a Semantic Parser Overnight},
    year = {2015},
  }
  

  [bib] [paper] [project] [CodaLab]
  
• Imitation learning of agenda-based semantic parsers. Jonathan Berant, Percy Liang. Transactions of the Association for Computational Linguistics (TACL), 2015.

  @article{berant2015agenda,
    author = {Jonathan Berant and Percy Liang},
    journal = {Transactions of the Association for Computational Linguistics (TACL)},
    pages = {545--558},
    title = {Imitation Learning of Agenda-Based Semantic Parsers},
    volume = {3},
    year = {2015},
  }
  

  [bib] [paper] [project] [CodaLab]
  
• Efficient global learning of entailment graphs. Jonathan Berant, Noga Alon, Ido Dagan, Jacob Goldberger. Computational Linguistics, 2015.

  @article{berant2015efficient,
    author = {Jonathan Berant and Noga Alon and Ido Dagan and Jacob Goldberger},
    journal = {Computational Linguistics},
    pages = {221--264},
    title = {Efficient Global Learning of Entailment Graphs},
    volume = {41},
    year = {2015},
  }
  

  [bib] [paper]
  
• Knowledge-based textual inference via parse-tree transformations. Roy Bar-Haim, Ido Dagan, Jonathan Berant. Journal of Artificial Intelligence Research (JAIR), 2015.

  @article{berant2015kb,
    author = {Roy Bar-Haim and Ido Dagan and Jonathan Berant},
    journal = {Journal of Artificial Intelligence Research (JAIR)},
    pages = {1--57},
    title = {Knowledge-based Textual Inference via Parse-Tree transformations},
    volume = {54},
    year = {2015},
  }
  

  [bib] [paper]
  

2014

• Semantic parsing via paraphrasing. Jonathan Berant, Percy Liang. Association for Computational Linguistics (ACL), 2014. Best long paper honorable mention.

  @inproceedings{berant2014paraphrasing,
    author = {Jonathan Berant and Percy Liang},
    booktitle = {Association for Computational Linguistics (ACL)},
    title = {Semantic Parsing via Paraphrasing},
    year = {2014},
  }
  

  [bib] [paper] [project]
  
• Modeling biological processes for reading comprehension. Jonathan Berant, Vivek Srikumar, Pei-Chun Chen, Abby Vander Linden, Brittany Harding, Brad Huang, Peter Clark, Christopher D Manning. Empirical Methods in Natural Language Processing (EMNLP), 2014. Best long paper award.

  @inproceedings{berant2014biological,
    author = {Jonathan Berant and Vivek Srikumar and Pei-Chun Chen and Abby Vander Linden and Brittany Harding and Brad Huang and Peter Clark and Christopher D Manning},
    booktitle = {Empirical Methods in Natural Language Processing (EMNLP)},
    title = {Modeling Biological Processes for Reading Comprehension},
    year = {2014},
  }
  

  [bib] [paper] [supplemental material] [project]
  
• Freebase QA: information extraction or semantic parsing. Xuchen Yao, Jonathan Berant, Benjamin Van-Durme. Workshop on Semantic parsing, 2014.

  @inproceedings{yao2014freebase,
    author = {Xuchen Yao and Jonathan Berant and Benjamin Van-Durme},
    booktitle = {Workshop on Semantic parsing},
    title = {{F}reebase {QA}: Information Extraction or Semantic Parsing},
    year = {2014},
  }
  

  [bib] [paper]
  

2013

• Semantic parsing on Freebase from question-answer pairs. Jonathan Berant, Andrew Chou, Roy Frostig, Percy Liang. Empirical Methods in Natural Language Processing (EMNLP), 2013.

  @inproceedings{berant2013freebase,
    author = {Jonathan Berant and Andrew Chou and Roy Frostig and Percy Liang},
    booktitle = {Empirical Methods in Natural Language Processing (EMNLP)},
    title = {Semantic Parsing on {F}reebase from Question-Answer Pairs},
    year = {2013},
  }
  

  [bib] [paper] [supplemental material] [slides] [project]
  
• Learning biological processes with global constraints. Aju Thalappillil Scaria, Jonathan Berant, Mengqiu Wang, Christopher D Manning, Justin Lewis, Brittany Harding, Peter Clark. Empirical Methods in Natural Language Processing (EMNLP), 2013.

  @inproceedings{scaria2013biological,
    author = {Aju Thalappillil Scaria and Jonathan Berant and Mengqiu Wang and Christopher D Manning and Justin Lewis and Brittany Harding and Peter Clark},
    booktitle = {Empirical Methods in Natural Language Processing (EMNLP)},
    title = {Learning biological processes with global constraints},
    year = {2013},
  }
  

  [bib] [paper] [project]
  
• A two level model for context sensitive inference rules. Oren Melamud, Jonathan Berant, Ido Dagan, Jacob Goldberger, Idan Szpektor. Association for Computational Linguistics (ACL), 2013. Best long paper runner-up.

  @inproceedings{melamud2013context,
    author = {Oren Melamud and Jonathan Berant and Ido Dagan and Jacob Goldberger and Idan Szpektor},
    booktitle = {Association for Computational Linguistics (ACL)},
    title = {A Two Level Model for Context Sensitive Inference Rules},
    year = {2013},
  }
  

  [bib] [paper]
  

2012

• Efficient tree-based approximation for entailment graph learning. Jonathan Berant, Ido Dagan, Meni Adler, Jacob Goldberger. Association for Computational Linguistics (ACL), 2012.

  @inproceedings{berant2012efficient,
    author = {Jonathan Berant and Ido Dagan and Meni Adler and Jacob Goldberger},
    booktitle = {Association for Computational Linguistics (ACL)},
    title = {Efficient Tree-based Approximation for Entailment Graph learning},
    year = {2012},
  }
  

  [bib] [paper]
  
• Entailment-based text exploration with application to the health-care domain. Meni Adler, Jonathan Berant, Ido Dagan. ACL system demonstrations, 2012.

  @inproceedings{adler2012textexploration,
    author = {Meni Adler and Jonathan Berant and Ido Dagan},
    booktitle = {ACL system demonstrations},
    title = {Entailment-based Text Exploration with Application to the Health-care Domain},
    year = {2012 2012},
  }
  

  [bib] [paper]
  
• Crowdsourcing inference-rule evaluation. Naomi Zeichner, Jonathan Berant, Ido Dagan. Association for Computational Linguistics (ACL), 2012.

  @inproceedings{zeichner2012crowdsourcing,
    author = {Naomi Zeichner and Jonathan Berant and Ido Dagan},
    booktitle = {Association for Computational Linguistics (ACL)},
    title = {Crowdsourcing Inference-rule Evaluation},
    year = {2012},
  }
  

  [bib] [paper]
  
• Learning verb inference rules from linguistically-motivated evidence. Hila Weisman, Jonathan Berant, Idan Szpektor, Ido Dagan. Empirical Methods in Natural Language Processing (EMNLP), 2012.

  @inproceedings{weisman2012learning,
    author = {Hila Weisman and Jonathan Berant and Idan Szpektor and Ido Dagan},
    booktitle = {Empirical Methods in Natural Language Processing (EMNLP)},
    title = {Learning Verb Inference Rules from Linguistically-motivated Evidence},
    year = {2012},
  }
  

  [bib] [paper]
  
• Learning entailment relations by global graph structure optimization. Jonathan Berant, Ido Dagan, Jacob Goldberger. Computational Linguistics, 2012.

  @article{berant2012learning,
    author = {Jonathan Berant and Ido Dagan and Jacob Goldberger},
    journal = {Computational Linguistics},
    pages = {73--111},
    title = {Learning Entailment Relations by Global Graph Structure Optimization},
    volume = {38},
    year = {2012},
  }
  

  [bib] [paper]
  
• Measuring mental entrenchment of phrases with perceptual identification, familiarity ratings, and corpus frequency statistics. Catherine Caldwell-Harris, Jonathan Berant, Shimon Edelman. Frequency Effects in Cognitive Linguistics (Vol. 1): Statistical Effects in Learnability, Processing and Change, 2012.

  @inproceedings{harris2012measuring,
    author = {Catherine Caldwell-Harris and Jonathan Berant and Shimon Edelman},
    booktitle = {Frequency Effects in Cognitive Linguistics (Vol. 1): Statistical Effects in Learnability, Processing and Change},
    pages = {165--194},
    title = {Measuring Mental Entrenchment of Phrases with Perceptual Identification, Familiarity Ratings, and Corpus Frequency Statistics},
    year = {2012},
  }
  

  [bib] [paper]
  

2011

• Global learning of typed entailment rules. Jonathan Berant, Ido Dagan, Jacob Goldberger. Association for Computational Linguistics (ACL), 2011. Best long student paper award.

  @inproceedings{berant2011global,
    author = {Jonathan Berant and Ido Dagan and Jacob Goldberger},
    booktitle = {Association for Computational Linguistics (ACL)},
    title = {Global Learning of Typed Entailment Rules},
    year = {2011},
  }
  

  [bib] [paper]
  
• Knowledge and tree-edits in learnable entailment proofs. Asher Stern, Amnon Lotan, Shachar Mirkin, Eyal Shnarch, Lili Kotlerman, Jonathan Berant, Ido Dagan. Text Analysis Conference, 2011.

  @inproceedings{stern2011knowledge,
    author = {Asher Stern and Amnon Lotan and Shachar Mirkin and Eyal Shnarch and Lili Kotlerman and Jonathan Berant and Ido Dagan},
    booktitle = {Text Analysis Conference},
    title = {Knowledge and Tree-Edits in Learnable Entailment Proofs},
    year = {2011 2011},
  }
  

  [bib] [paper]
  

2010

• Global learning of focused entailment graphs. Jonathan Berant, Ido Dagan, Jacob Goldberger. Association for Computational Linguistics (ACL), 2010.

  @inproceedings{berant2010global,
    author = {Jonathan Berant and Ido Dagan and Jacob Goldberger},
    booktitle = {Association for Computational Linguistics (ACL)},
    title = {Global Learning of Focused Entailment Graphs},
    year = {2010},
  }
  

  [bib] [paper]
  
• Recognising entailment within discourse. Shachar Mirkin, Jonathan Berant, Ido Dagan, Eyal Shnarch. International Conference on Computational Linguistics (COLING), 2010.

  @inproceedings{mirkin2010,
    author = {Shachar Mirkin and Jonathan Berant and Ido Dagan and Eyal Shnarch},
    booktitle = {International Conference on Computational Linguistics (COLING)},
    title = {Recognising Entailment within Discourse},
    year = {2010},
  }
  

  [bib] [paper]
  
• Rule chaining and approximate match in textual inference. Asher Stern, Eyal Shnarch, Amnon Lotan, Shachar Mirkin, Lili Kotlerman, Naomi Zeichner, Jonathan Berant, Ido Dagan. Text Analysis Conference, 2010.

  @inproceedings{stern2010rulechaining,
    author = {Asher Stern and Eyal Shnarch and Amnon Lotan and Shachar Mirkin and Lili Kotlerman and Naomi Zeichner and Jonathan Berant and Ido Dagan},
    booktitle = {Text Analysis Conference},
    title = {Rule Chaining and Approximate Match in Textual Inference},
    year = {2010},
  }
  

  [bib] [paper]
  

2009

• A compact forest for scalable inference over entailment and paraphrase rules. Roy Bar-Haim, Jonathan Berant, Ido Dagan. Empirical Methods in Natural Language Processing (EMNLP), 2009.

  @inproceedings{barhaim2009forest,
    author = {Roy Bar-Haim and Jonathan Berant and Ido Dagan},
    booktitle = {Empirical Methods in Natural Language Processing (EMNLP)},
    title = {A Compact Forest for Scalable Inference over Entailment and Paraphrase Rules},
    year = {2009},
  }
  

  [bib] [paper]
  
• Addressing discourse and document structure in the RTE search task. Shachar Mirkin, Roy Bar-Haim, Jonathan Berant, Ido Dagan, Eyal Shnarch, Asher Stern, Idan Szpektor. Text Analysis Conference, 2009.

  @inproceedings{mirkin2009discourse,
    author = {Shachar Mirkin and Roy Bar-Haim and Jonathan Berant and Ido Dagan and Eyal Shnarch and Asher Stern and Idan Szpektor},
    booktitle = {Text Analysis Conference},
    title = {Addressing Discourse and Document Structure in the {RTE} Search Task},
    year = {2009 2009},
  }
  

  [bib] [paper]
  

2008

• Tracks in the mind: differential entrenchment of common and rare liturgical and every- day multiword phrases in religious and secular hebrew speakers. Jonathan Berant, Catherine Caldwell-Harris, Shimon Edelman. Annual Meeting of the Cognitive Science Society, 2008.

  @inproceedings{berant2008tracks,
    author = {Jonathan Berant and Catherine Caldwell-Harris and Shimon Edelman},
    booktitle = {Annual Meeting of the Cognitive Science Society},
    title = {Tracks in the Mind: Differential Entrenchment of Common and Rare Liturgical and Every- day Multiword Phrases in Religious and Secular Hebrew Speakers},
    year = {2008 2008},
  }
  

  [bib] [paper]
  
• Efficient semantic deduction and approximate matching over compact parse forests. Roy Bar-Haim, Jonathan Berant, Ido Dagan, Iddo Greental, Shachar Mirkin, Eyal Shnarch, Idan Szpektor. Text Analysis Conference, 2008.

  @inproceedings{barhaim2008,
    author = {Roy Bar-Haim and Jonathan Berant and Ido Dagan and Iddo Greental and Shachar Mirkin and Eyal Shnarch and Idan Szpektor},
    booktitle = {Text Analysis Conference},
    title = {Efficient Semantic Deduction and Approximate Matching over Compact Parse Forests},
    year = {2008 2008},
  }
  

  [bib] [paper]
  

2007

• Boosting unsupervised grammar induction by splitting complex sentences on function words. Jonathan Berant, Yaron Gross, Matan Mussel, Ben Sandbank, Eytan Ruppin, Shimon Edelman. Boston University Conference on Language Development, 2007.

  @inproceedings{berant2007boosting,
    author = {Jonathan Berant and Yaron Gross and Matan Mussel and Ben Sandbank and Eytan Ruppin and Shimon Edelman},
    booktitle = {Boston University Conference on Language Development},
    title = {Boosting Unsupervised Grammar Induction by Splitting Complex Sentences on Function Words},
    year = {2007 2007},
  }
  

  [bib] [paper]