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#ACL2020
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Jonathan Berant
Number of Papers:- 51
Number of Citations:- 550
First ACL Paper:- 2009
Latest ACL Paper:- 2020
Venues:-
WS
IJCNLP
Findings
CoNLL
CL
TACL
COLING
*SEMEVAL
EMNLP
NAACL
ACL
Co-Authors:-
Abby Vander Linden
Adir Cohen
Aju Thalappillil Scaria
Alessandro Lenci
Alexandre Lacoste
Similar Authors:-
Yongjoo Cho
Ui Sung Song
Sunghoon Son
Rana Malhas
Jung Uk Kim
2020
2019
2018
2017
2015
2014
2013
2012
2011
2010
2009
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 |
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