Crawling The Internal Knowledge-Base of Language Models F i n d i n g s - E A C L

Roi Cohen | Mor Geva | Jonathan Berant | Amir Globerson |

What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary ACL

Ori Ram | Liat Bezalel | Adi Zicher | Yonatan Belinkov | Jonathan Berant | Amir Globerson |

Diverse Demonstrations Improve In-context Compositional Generalization ACL

Itay Levy | Ben Bogin | Jonathan Berant |

Efficient Long-Text Understanding with Short-Text Models TACL

Maor Ivgi | Uri Shaham | Jonathan Berant |

Answering Questions by Meta-Reasoning over Multiple Chains of Thought EMNLP

Ori Yoran | Tomer Wolfson | Ben Bogin | Uri Katz | Daniel Deutch | Jonathan Berant |

ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding F i n d i n g s - E M N L P

Uri Shaham | Maor Ivgi | Avia Efrat | Jonathan Berant | Omer Levy |

QAMPARI: A Benchmark for Open-domain Questions with Many Answers GEM WS

Samuel Amouyal | Tomer Wolfson | Ohad Rubin | Ori Yoran | Jonathan Herzig | Jonathan Berant |

Analyzing Transformers in Embedding Space ACL

Guy Dar | Mor Geva | Ankit Gupta | Jonathan Berant |

Turning Tables: Generating Examples from Semi-structured Tables for Endowing Language Models with Reasoning Skills ACL

Ori Yoran | Alon Talmor | Jonathan Berant |

Break, Perturb, Build: Automatic Perturbation of Reasoning Paths Through Question Decomposition TACL

Mor Geva | Tomer Wolfson | Jonathan Berant |

Learning To Retrieve Prompts for In-Context Learning NAACL

Ohad Rubin | Jonathan Herzig | Jonathan Berant |

Learning to Retrieve Passages without Supervision NAACL

Ori Ram | Gal Shachaf | Omer Levy | Jonathan Berant | Amir Globerson |

Weakly Supervised Text-to-SQL Parsing through Question Decomposition Findings NAACL

Tomer Wolfson | Daniel Deutch | Jonathan Berant |

Inferring Implicit Relations in Complex Questions with Language Models F i n d i n g s - E M N L P

Uri Katz | Mor Geva | Jonathan Berant |

SCROLLS: Standardized CompaRison Over Long Language Sequences EMNLP

Uri Shaham | Elad Segal | Maor Ivgi | Avia Efrat | Ori Yoran | Adi Haviv | Ankit Gupta | Wenhan Xiong | Mor Geva | Jonathan Berant | Omer Levy |

Scaling Laws Under the Microscope: Predicting Transformer Performance from Small Scale Experiments F i n d i n g s - E M N L P

Maor Ivgi | Yair Carmon | Jonathan Berant |

Unobserved Local Structures Make Compositional Generalization Hard EMNLP

Ben Bogin | Shivanshu Gupta | Jonathan Berant |

Evaluating the Evaluation of Diversity in Natural Language Generation EACL

Guy Tevet | Jonathan Berant |

BERTese: Learning to Speak to BERT EACL

Adi Haviv | Jonathan Berant | Amir Globerson |

SmBoP: Semi-autoregressive Bottom-up Semantic Parsing NAACL

Ohad Rubin | Jonathan Berant |

Transformer Feed-Forward Layers Are Key-Value Memories EMNLP

Mor Geva | Roei Schuster | Jonathan Berant | Omer Levy |

Value-aware Approximate Attention EMNLP

Ankit Gupta | Jonathan Berant |

Memory-efficient Transformers via Top-k Attention EMNLP sustainlp

Ankit Gupta | Guy Dar | Shaya Goodman | David Ciprut | Jonathan Berant |

Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization EMNLP

Inbar Oren | Jonathan Herzig | Jonathan Berant |

Span-based Semantic Parsing for Compositional Generalization ACL IJCNLP

Jonathan Herzig | Jonathan Berant |

What’s in Your Head? Emergent Behaviour in Multi-Task Transformer Models EMNLP

Mor Geva | Uri Katz | Aviv Ben-Arie | Jonathan Berant |

Few-Shot Question Answering by Pretraining Span Selection ACL IJCNLP

Ori Ram | Yuval Kirstain | Jonathan Berant | Amir Globerson | Omer Levy |

COVR: A Test-Bed for Visually Grounded Compositional Generalization with Real Images EMNLP

Ben Bogin | Shivanshu Gupta | Matt Gardner | Jonathan Berant |

Achieving Model Robustness through Discrete Adversarial Training EMNLP

Maor Ivgi | Jonathan Berant |

Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering TACL

Ben Bogin | Sanjay Subramanian | Matt Gardner | Jonathan Berant |

SmBoP: Semi-autoregressive Bottom-up Semantic Parsing ACL IJCNLP spnlp

Ohad Rubin | Jonathan Berant |

Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies TACL

Mor Geva | Daniel Khashabi | Elad Segal | Tushar Khot | Dan Roth | Jonathan Berant |

Injecting Numerical Reasoning Skills into Language Models ACL

Mor Geva | Ankit Gupta | Jonathan Berant |

Obtaining Faithful Interpretations from Compositional Neural Networks ACL

Sanjay Subramanian | Ben Bogin | Nitish Gupta | Tomer Wolfson | Sameer Singh | Jonathan Berant | Matt Gardner |

Improving Compositional Generalization in Semantic Parsing EMNLP Findings

Inbar Oren | Jonathan Herzig | Nitish Gupta | Matt Gardner | Jonathan Berant |

Break It Down: A Question Understanding Benchmark TACL

Tomer Wolfson | Mor Geva | Ankit Gupta | Matt Gardner | Yoav Goldberg | Daniel Deutch | Jonathan Berant |

A Simple and Effective Model for Answering Multi-span Questions EMNLP

Elad Segal | Avia Efrat | Mor Shoham | Amir Globerson | Jonathan Berant |

oLMpics-On What Language Model Pre-training Captures TACL

Alon Talmor | Yanai Elazar | Yoav Goldberg | Jonathan Berant |

Evaluating Models’ Local Decision Boundaries via Contrast Sets EMNLP Findings

Matt Gardner | Yoav Artzi | Victoria Basmov | Jonathan Berant | Ben Bogin | Sihao Chen | Pradeep Dasigi | Dheeru Dua | Yanai Elazar | Ananth Gottumukkala | Nitish Gupta | Hannaneh 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 |

Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets EMNLP

Mor Geva | Yoav Goldberg | Jonathan Berant |

Global Reasoning over Database Structures for Text-to-SQL Parsing EMNLP

Ben Bogin | Matt Gardner | Jonathan Berant |

Don’t paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing EMNLP

Jonathan Herzig | Jonathan Berant |

On Making Reading Comprehension More Comprehensive EMNLP WS

Matt Gardner | Jonathan Berant | Hannaneh Hajishirzi | Alon Talmor | Sewon Min |

On the Limits of Learning to Actively Learn Semantic Representations CoNLL

Omri Koshorek | Gabriel Stanovsky | Yichu Zhou | Vivek Srikumar | Jonathan Berant |

White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks NAACL

Yotam Gil | Yoav Chai | Or Gorodissky | Jonathan Berant |

Value-based Search in Execution Space for Mapping Instructions to Programs NAACL

Dor Muhlgay | Jonathan Herzig | Jonathan Berant |

Evaluating Text GANs as Language Models NAACL

Guy Tevet | Gavriel Habib | Vered Shwartz | Jonathan Berant |

DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion NAACL

Mor Geva | Eric Malmi | Idan Szpektor | Jonathan Berant |

CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge NAACL

Alon Talmor | Jonathan Herzig | Nicholas Lourie | Jonathan Berant |

Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing ACL

Ben Bogin | Jonathan Berant | Matt Gardner |

MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension ACL

Alon Talmor | Jonathan Berant |

Learning to Search in Long Documents Using Document Structure COLING

Mor Geva | Jonathan Berant |

Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing EMNLP

Jonathan Herzig | Jonathan Berant |

The Web as a Knowledge-Base for Answering Complex Questions NAACL

Alon Talmor | Jonathan Berant |

Polyglot Semantic Parsing in APIs NAACL

Kyle Richardson | Jonathan Berant | Jonas Kuhn |

Text Segmentation as a Supervised Learning Task NAACL

Omri Koshorek | Adir Cohen | Noam Mor | Michael Rotman | Jonathan Berant |

Contextualized Word Representations for Reading Comprehension NAACL

Shimi Salant | Jonathan Berant |

Weakly Supervised Semantic Parsing with Abstract Examples ACL

Omer Goldman | Veronica Latcinnik | Ehud Nave | Amir Globerson | Jonathan Berant |

Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics *SEMEVAL

Malvina Nissim | Jonathan Berant | Alessandro Lenci |

Proceedings of the Workshop on Machine Reading for Question Answering ACL WS

Eunsol Choi | Minjoon Seo | Danqi Chen | Robin Jia | Jonathan Berant |

Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision ACL

Chen Liang | Jonathan Berant | Quoc Le | Kenneth D. Forbus | Ni Lao |

Coarse-to-Fine Question Answering for Long Documents ACL

Eunsol Choi | Daniel Hewlett | Jakob Uszkoreit | Illia Polosukhin | Alexandre Lacoste | Jonathan Berant |

Neural Semantic Parsing over Multiple Knowledge-bases ACL

Jonathan Herzig | Jonathan Berant |

Evaluating Semantic Parsing against a Simple Web-based Question Answering Model *SEMEVAL

Alon Talmor | Mor Geva | Jonathan Berant |

Efficient Global Learning of Entailment Graphs CL

Jonathan Berant | Noga Alon | Ido Dagan | Jacob Goldberger |

Building a Semantic Parser Overnight ACL IJCNLP

Yushi Wang | Jonathan Berant | Percy Liang |

Imitation Learning of Agenda-based Semantic Parsers TACL

Jonathan Berant | Percy Liang |

evision PDF of 'Modeling Biological Processes for Reading Comprehension EMNLP

Jonathan Berant | Vivek Srikumar | Pei-Chun Chen | Abby Vander Linden | Brittany Harding | Brad Huang | Peter Clark | Christopher D. Manning |

Semantic Parsing via Paraphrasing ACL

Jonathan Berant | Percy Liang |

Proceedings of the ACL 2014 Workshop on Semantic Parsing WS

Yoav Artzi | Tom Kwiatkowski | Jonathan Berant |

Freebase QA: Information Extraction or Semantic Parsing? WS

Xuchen Yao | Jonathan Berant | Benjamin Van Durme |

Semantic Parsing on Freebase from Question-Answer Pairs EMNLP

Jonathan Berant | Andrew Chou | Roy Frostig | Percy Liang |

Learning Biological Processes with Global Constraints EMNLP

Aju Thalappillil Scaria | Jonathan Berant | Mengqiu Wang | Peter Clark | Justin Lewis | Brittany Harding | Christopher D. Manning |

A Two Level Model for Context Sensitive Inference Rules ACL

Oren Melamud | Jonathan Berant | Ido Dagan | Jacob Goldberger | Idan Szpektor |

Learning Verb Inference Rules from Linguistically-Motivated Evidence CoNLL EMNLP

Hila Weisman | Jonathan Berant | Idan Szpektor | Ido Dagan |

Learning Entailment Relations by Global Graph Structure Optimization CL

Jonathan Berant | Ido Dagan | Jacob Goldberger |

Efficient Tree-based Approximation for Entailment Graph Learning ACL

Jonathan Berant | Ido Dagan | Meni Adler | Jacob Goldberger |

Crowdsourcing Inference-Rule Evaluation ACL

Naomi Zeichner | Jonathan Berant | Ido Dagan |

Entailment-based Text Exploration with Application to the Health-care Domain ACL

Meni Adler | Jonathan Berant | Ido Dagan |

Global Learning of Typed Entailment Rules ACL

Jonathan Berant | Ido Dagan | Jacob Goldberger |

Recognising Entailment within Discourse COLING

Shachar Mirkin | Jonathan Berant | Ido Dagan | Eyal Shnarch |

Global Learning of Focused Entailment Graphs ACL

Jonathan Berant | Ido Dagan | Jacob Goldberger |

A Compact Forest for Scalable Inference over Entailment and Paraphrase Rules EMNLP

Roy Bar-Haim | Jonathan Berant | Ido Dagan |