Gabriel Stanovsky

134 papers A* 14A 2B 4C 1Journal 69Unranked 43
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beyond Memorization: Distinguishing between Reductive and Epistemic Reasoning in LLMs using Classic Logic Puzzles.
CoRR
Adi Gabay, Gabriel Stanovsky, Liat Peterfreund
2026 — conf
Leveraging Digitized Newspapers to Collect Summarization Data in Low-Resource Languages.
EACL (Findings)
Noam Dahan, Omer Kidron, Gabriel Stanovsky
2025 J jnl
Beyond Benchmarks: On The False Promise of AI Regulation.
CoRR
Gabriel Stanovsky, Renana Keydar, Gadi Perl, Eliya Habba
2025 — conf
Can LLMs Help Uncover Insights about LLMs? A Large-Scale, Evolving Literature Analysis of Frontier LLMs.
ACL (1)
Jungsoo Park, Junmo Kang, Gabriel Stanovsky, Alan Ritter
2025 J jnl
Cooking Up Creativity: A Cognitively-Inspired Approach for Enhancing LLM Creativity through Structured Representations.
CoRR
Moran Mizrahi, Chen Shani, Gabriel Stanovsky, Dan Jurafsky, Dafna Shahaf
2025 — conf
DOVE: A Large-Scale Multi-Dimensional Predictions Dataset Towards Meaningful LLM Evaluation.
ACL (Findings)
Eliya Habba, Ofir Arviv, Itay Itzhak, Yotam Perlitz, Elron Bandel, Leshem Choshen, Michal Shmueli-Scheuer, Gabriel Stanovsky
2025 J jnl
DOVE: A Large-Scale Multi-Dimensional Predictions Dataset Towards Meaningful LLM Evaluation.
CoRR
Eliya Habba, Ofir Arviv, Itay Itzhak, Yotam Perlitz, Elron Bandel, Leshem Choshen, Michal Shmueli-Scheuer, Gabriel Stanovsky
2025 J jnl
HACK: Hallucinations Along Certainty and Knowledge Axes.
CoRR
Adi Simhi, Jonathan Herzig, Itay Itzhak, Dana Arad, Zorik Gekhman, Roi Reichart, Fazl Barez, Gabriel Stanovsky, Idan Szpektor, Yonatan Belinkov
2025 J jnl
Improving Image Captioning by Mimicking Human Reformulation Feedback at Inference-time.
CoRR
Uri Berger, Omri Abend, Lea Frermann, Gabriel Stanovsky
2025 J jnl
Leveraging Digitized Newspapers to Collect Summarization Data in Low-Resource Languages.
CoRR
Noam Dahan, Omer Kidron, Gabriel Stanovsky
2025 J jnl
Look Before you Leap: Estimating LLM Benchmark Scores from Descriptions.
CoRR
Jungsoo Park, Ethan Mendes, Gabriel Stanovsky, Alan Ritter
2025 A* conf
Looking Beyond the Top-1: Transformers Determine Top Tokens in Order.
ICML
Daria Lioubashevski, Tomer Schlank, Gabriel Stanovsky, Ariel Goldstein
2025 — conf
More Documents, Same Length: Isolating the Challenge of Multiple Documents in RAG.
EMNLP (Findings)
Shahar Levy, Nir Mazor, Lihi Shalmon, Michael Hassid, Gabriel Stanovsky
2025 J jnl
More Documents, Same Length: Isolating the Challenge of Multiple Documents in RAG.
CoRR
Shahar Levy, Nir Mazor, Lihi Shalmon, Michael Hassid, Gabriel Stanovsky
2025 J jnl
Planted in Pretraining, Swayed by Finetuning: A Case Study on the Origins of Cognitive Biases in LLMs.
CoRR
Itay Itzhak, Yonatan Belinkov, Gabriel Stanovsky
2025 — conf
PromptSuite: A Task-Agnostic Framework for Multi-Prompt Generation.
EMNLP (System Demonstrations)
Eliya Habba, Noam Dahan, Gili Lior, Gabriel Stanovsky
2025 J jnl
PromptSuite: A Task-Agnostic Framework for Multi-Prompt Generation.
CoRR
Eliya Habba, Noam Dahan, Gili Lior, Gabriel Stanovsky
2025 — conf
ReliableEval: A Recipe for Stochastic LLM Evaluation via Method of Moments.
EMNLP (Findings)
Gili Lior, Eliya Habba, Shahar Levy, Avi Caciularu, Gabriel Stanovsky
2025 J jnl
ReliableEval: A Recipe for Stochastic LLM Evaluation via Method of Moments.
CoRR
Gili Lior, Eliya Habba, Shahar Levy, Avi Caciularu, Gabriel Stanovsky
2025 J jnl
Seeing the Forest for the Trees: A Large Scale, Continuously Updating Meta-Analysis of Frontier LLMs.
CoRR
Jungsoo Park, Junmo Kang, Gabriel Stanovsky, Alan Ritter
2025 J jnl
Surveying the Landscape of Image Captioning Evaluation: A Comprehensive Taxonomy, Trends, and Metrics Analysis.
Trans. Assoc. Comput. Linguistics
Uri Berger, Gabriel Stanovsky, Omri Abend, Lea Frermann
2025 — conf
The State and Fate of Summarization Datasets: A Survey.
NAACL (Long Papers)
Noam Dahan, Gabriel Stanovsky
2025 — conf
Time to Talk: LLM Agents for Asynchronous Group Communication in Mafia Games.
EMNLP (Findings)
Niv Eckhaus, Uri Berger, Gabriel Stanovsky
2025 J jnl
Time to Talk: LLM Agents for Asynchronous Group Communication in Mafia Games.
CoRR
Niv Eckhaus, Uri Berger, Gabriel Stanovsky
2025 J jnl
Trust Me, I'm Wrong: High-Certainty Hallucinations in LLMs.
CoRR
Adi Simhi, Itay Itzhak, Fazl Barez, Gabriel Stanovsky, Yonatan Belinkov
2025 — conf
Trust Me, I'm Wrong: LLMs Hallucinate with Certainty Despite Knowing the Answer.
EMNLP (Findings)
Adi Simhi, Itay Itzhak, Fazl Barez, Gabriel Stanovsky, Yonatan Belinkov
2025 J jnl
WildFrame: Comparing Framing in Humans and LLMs on Naturally Occurring Texts.
CoRR
Gili Lior, Liron Nacchace, Gabriel Stanovsky
2024 B conf
A Nurse is Blue and Elephant is Rugby: Cross Domain Alignment in Large Language Models Reveal Human-like Patterns.
CogSci
Asaf Yehudai, Taelin Karidi, Gabriel Stanovsky, Ariel Goldstein, Omri Abend
2024 J jnl
A Nurse is Blue and Elephant is Rugby: Cross Domain Alignment in Large Language Models Reveal Human-like Patterns.
CoRR
Asaf Yehudai, Taelin Karidi, Gabriel Stanovsky, Ariel Goldstein, Omri Abend
2024 A* conf
Applying Intrinsic Debiasing on Downstream Tasks: Challenges and Considerations for Machine Translation.
EMNLP
Bar Iluz, Yanai Elazar, Asaf Yehudai, Gabriel Stanovsky
2024 J jnl
Applying Intrinsic Debiasing on Downstream Tasks: Challenges and Considerations for Machine Translation.
CoRR
Bar Iluz, Yanai Elazar, Asaf Yehudai, Gabriel Stanovsky
2024 — conf
Do Zombies Understand? A Choose-Your-Own-Adventure Exploration of Machine Cognition.
ACL (Findings)
Ariel Goldstein, Gabriel Stanovsky
2024 J jnl
Do Zombies Understand? A Choose-Your-Own-Adventure Exploration of Machine Cognition.
CoRR
Ariel Goldstein, Gabriel Stanovsky
2024 J jnl
In-Context Learning on a Budget: A Case Study in Named Entity Recognition.
CoRR
Uri Berger, Tal Baumel, Gabriel Stanovsky
2024 — conf
K-QA: A Real-World Medical Q&A Benchmark.
BioNLP@ACL
Itay Manes, Naama Ronn, David Cohen, Ran Ilan Ber, Zehavi Horowitz-Kugler, Gabriel Stanovsky
2024 J jnl
K-QA: A Real-World Medical Q&A Benchmark.
CoRR
Itay Manes, Naama Ronn, David Cohen, Ran Ilan Ber, Zehavi Horowitz-Kugler, Gabriel Stanovsky
2024 — conf
Leveraging Collection-Wide Similarities for Unsupervised Document Structure Extraction.
ACL (Findings)
Gili Lior, Yoav Goldberg, Gabriel Stanovsky
2024 J jnl
Leveraging Collection-Wide Similarities for Unsupervised Document Structure Extraction.
CoRR
Gili Lior, Yoav Goldberg, Gabriel Stanovsky
2024 J jnl
Looking Beyond The Top-1: Transformers Determine Top Tokens In Order.
CoRR
Daria Lioubashevski, Tomer Schlank, Gabriel Stanovsky, Ariel Goldstein
2024 J jnl
SAUCE: Synchronous and Asynchronous User-Customizable Environment for Multi-Agent LLM Interaction.
CoRR
Shlomo Neuberger, Niv Eckhaus, Uri Berger, Amir Taubenfeld, Gabriel Stanovsky, Ariel Goldstein
2024 J jnl
SEAM: A Stochastic Benchmark for Multi-Document Tasks.
CoRR
Gili Lior, Avi Caciularu, Arie Cattan, Shahar Levy, Ori Shapira, Gabriel Stanovsky
2024 — conf
Schema-Driven Information Extraction from Heterogeneous Tables.
EMNLP (Findings)
Fan Bai, Junmo Kang, Gabriel Stanovsky, Dayne Freitag, Mark Dredze, Alan Ritter
2024 J jnl
State of What Art? A Call for Multi-Prompt LLM Evaluation.
CoRR
Moran Mizrahi, Guy Kaplan, Dan Malkin, Rotem Dror, Dafna Shahaf, Gabriel Stanovsky
2024 J jnl
State of What Art? A Call for Multi-Prompt LLM Evaluation.
Trans. Assoc. Comput. Linguistics
Moran Mizrahi, Guy Kaplan, Dan Malkin, Rotem Dror, Dafna Shahaf, Gabriel Stanovsky
2024 J jnl
Surveying the Landscape of Image Captioning Evaluation: A Comprehensive Taxonomy and Novel Ensemble Method.
CoRR
Uri Berger, Gabriel Stanovsky, Omri Abend, Lea Frermann
2024 J jnl
The State and Fate of Summarization Datasets.
CoRR
Noam Dahan, Gabriel Stanovsky
2023 — conf
A Large-Scale Multilingual Study of Visual Constraints on Linguistic Selection of Descriptions.
EACL (Findings)
Uri Berger, Lea Frermann, Gabriel Stanovsky, Omri Abend
2023 J jnl
A Large-Scale Multilingual Study of Visual Constraints on Linguistic Selection of Descriptions.
CoRR
Uri Berger, Lea Frermann, Gabriel Stanovsky, Omri Abend
2023 — conf
Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents.
ACL (Findings)
Catherine Chen, Zejiang Shen, Dan Klein, Gabriel Stanovsky, Doug Downey, Kyle Lo
2023 J jnl
Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents.
CoRR
Catherine Chen, Zejiang Shen, Dan Klein, Gabriel Stanovsky, Doug Downey, Kyle Lo
2023 A* conf
Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images.
ICCV
Nitzan Bitton Guetta, Yonatan Bitton, Jack Hessel, Ludwig Schmidt, Yuval Elovici, Gabriel Stanovsky, Roy Schwartz
2023 J jnl
Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images.
CoRR
Nitzan Bitton Guetta, Yonatan Bitton, Jack Hessel, Ludwig Schmidt, Yuval Elovici, Gabriel Stanovsky, Roy Schwartz
2023 B conf
Comparing Humans and Models on a Similar Scale: Towards Cognitive Gender Bias Evaluation in Coreference Resolution.
CogSci
Gili Lior, Gabriel Stanovsky
2023 J jnl
Comparing Humans and Models on a Similar Scale: Towards Cognitive Gender Bias Evaluation in Coreference Resolution.
CoRR
Gili Lior, Gabriel Stanovsky
2023 A conf
Evaluating and Improving the Coreference Capabilities of Machine Translation Models.
EACL
Asaf Yehudai, Arie Cattan, Omri Abend, Gabriel Stanovsky
2023 J jnl
Evaluating and Improving the Coreference Capabilities of Machine Translation Models.
CoRR
Asaf Yehudai, Arie Cattan, Omri Abend, Gabriel Stanovsky
2023 — conf
Exploring the Impact of Training Data Distribution and Subword Tokenization on Gender Bias in Machine Translation.
IJCNLP (1)
Bar Iluz, Tomasz Limisiewicz, Gabriel Stanovsky, David Marecek
2023 J jnl
Exploring the Impact of Training Data Distribution and Subword Tokenization on Gender Bias in Machine Translation.
CoRR
Bar Iluz, Tomasz Limisiewicz, Gabriel Stanovsky, David Marecek
2023 J jnl
Instructed to Bias: Instruction-Tuned Language Models Exhibit Emergent Cognitive Bias.
CoRR
Itay Itzhak, Gabriel Stanovsky, Nir Rosenfeld, Yonatan Belinkov
2023 J jnl
Schema-Driven Information Extraction from Heterogeneous Tables.
CoRR
Fan Bai, Junmo Kang, Gabriel Stanovsky, Dayne Freitag, Alan Ritter
2023 C conf
The Perfect Victim: Computational Analysis of Judicial Attitudes towards Victims of Sexual Violence.
ICAIL
Eliya Habba, Renana Keydar, Dan Bareket, Gabriel Stanovsky
2023 J jnl
The Perfect Victim: Computational Analysis of Judicial Attitudes towards Victims of Sexual Violence.
CoRR
Eliya Habba, Renana Keydar, Dan Bareket, Gabriel Stanovsky
2023 A* conf
VASR: Visual Analogies of Situation Recognition.
AAAI
Yonatan Bitton, Ron Yosef, Eliyahu Strugo, Dafna Shahaf, Roy Schwartz, Gabriel Stanovsky
2022 A* conf
"Covid vaccine is against Covid but Oxford vaccine is made at Oxford!" Semantic Interpretation of Proper Noun Compounds.
EMNLP
Keshav Kolluru, Gabriel Stanovsky, Mausam
2022 J jnl
"Covid vaccine is against Covid but Oxford vaccine is made at Oxford!" Semantic Interpretation of Proper Noun Compounds.
CoRR
Keshav Kolluru, Gabriel Stanovsky, Mausam
2022 — conf
A Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the Linguistic Blood Bank.
NAACL-HLT
Dan Malkin, Tomasz Limisiewicz, Gabriel Stanovsky
2022 J jnl
A Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the Linguistic Blood Bank.
CoRR
Dan Malkin, Tomasz Limisiewicz, Gabriel Stanovsky
2022 — conf
A Computational Acquisition Model for Multimodal Word Categorization.
NAACL-HLT
Uri Berger, Gabriel Stanovsky, Omri Abend, Lea Frermann
2022 J jnl
A Computational Acquisition Model for Multimodal Word Categorization.
CoRR
Uri Berger, Gabriel Stanovsky, Omri Abend, Lea Frermann
2022 A* conf
GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation.
EMNLP
Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, Nicholas Lourie, Jungo Kasai, Yejin Choi, Noah A. Smith, Daniel S. Weld
2022 — conf
On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlations.
NAACL-HLT (Findings)
Roy Schwartz, Gabriel Stanovsky
2022 J jnl
On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlations.
CoRR
Roy Schwartz, Gabriel Stanovsky
2022 — conf
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022).
SemEval@NAACL
Guy Emerson, Natalie Schluter, Gabriel Stanovsky, Ritesh Kumar, Alexis Palmer, Nathan Schneider, Siddharth Singh, Shyam Ratan
2022 — ed.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, Seattle, Washington, United States, July 14-15, 2022
SemEval@NAACL
Guy Emerson, Natalie Schluter, Gabriel Stanovsky, Ritesh Kumar, Alexis Palmer, Nathan Schneider, Siddharth Singh, Shyam Ratan
2022 J jnl
VASR: Visual Analogies of Situation Recognition.
CoRR
Yonatan Bitton, Ron Yosef, Eli Strugo, Dafna Shahaf, Roy Schwartz, Gabriel Stanovsky
2022 A* conf
WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language Models.
NeurIPS
Yonatan Bitton, Nitzan Bitton Guetta, Ron Yosef, Yuval Elovici, Mohit Bansal, Gabriel Stanovsky, Roy Schwartz
2022 J jnl
WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language Models.
CoRR
Yonatan Bitton, Nitzan Bitton Guetta, Ron Yosef, Yuval Elovici, Mohit Bansal, Gabriel Stanovsky, Roy Schwartz
2022 J jnl
You Can Have Your Data and Balance It Too: Towards Balanced and Efficient Multilingual Models.
CoRR
Tomasz Limisiewicz, Dan Malkin, Gabriel Stanovsky
2021 — conf
Automated Extraction of Sentencing Decisions from Court Cases in the Hebrew Language.
NLLP@EMNLP
Mohr Wenger, Tom Kalir, Noga Berger, Carmit Klar Chalamish, Renana Keydar, Gabriel Stanovsky
2021 J jnl
Automated Extraction of Sentencing Decisions from Court Cases in the Hebrew Language.
CoRR
Mohr Wenger, Tom Kalir, Noga Berger, Carmit Klar Chalamish, Renana Keydar, Gabriel Stanovsky
2021 — conf
Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQA.
NAACL-HLT
Yonatan Bitton, Gabriel Stanovsky, Roy Schwartz, Michael Elhadad
2021 J jnl
Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQA.
CoRR
Yonatan Bitton, Gabriel Stanovsky, Roy Schwartz, Michael Elhadad
2021 — conf
Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation.
EMNLP (Findings)
Shahar Levy, Koren Lazar, Gabriel Stanovsky
2021 J jnl
Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation.
CoRR
Shahar Levy, Koren Lazar, Gabriel Stanovsky
2021 — conf
Cross-document Coreference Resolution over Predicted Mentions.
ACL/IJCNLP (Findings)
Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi, Ido Dagan
2021 J jnl
Cross-document Coreference Resolution over Predicted Mentions.
CoRR
Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi, Ido Dagan
2021 — conf
Data Efficient Masked Language Modeling for Vision and Language.
EMNLP (Findings)
Yonatan Bitton, Michael Elhadad, Gabriel Stanovsky, Roy Schwartz
2021 J jnl
Data Efficient Masked Language Modeling for Vision and Language.
CoRR
Yonatan Bitton, Gabriel Stanovsky, Michael Elhadad, Roy Schwartz
2021 — conf
Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling Approach.
EMNLP (1)
Koren Lazar, Benny Saret, Asaf Yehudai, Wayne Horowitz, Nathan Wasserman, Gabriel Stanovsky
2021 J jnl
Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling Approach.
CoRR
Koren Lazar, Benny Saret, Asaf Yehudai, Wayne Horowitz, Nathan Wasserman, Gabriel Stanovsky
2021 J jnl
GENIE: A Leaderboard for Human-in-the-Loop Evaluation of Text Generation.
CoRR
Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, Nicholas Lourie, Jungo Kasai, Yejin Choi, Noah A. Smith, Daniel S. Weld
2021 J jnl
Gender trends in computer science authorship.
Commun. ACM
Lucy Lu Wang, Gabriel Stanovsky, Luca Weihs, Oren Etzioni
2021 A conf
Process-Level Representation of Scientific Protocols with Interactive Annotation.
EACL
Ronen Tamari, Fan Bai, Alan Ritter, Gabriel Stanovsky
2021 J jnl
Process-Level Representation of Scientific Protocols with Interactive Annotation.
CoRR
Ronen Tamari, Fan Bai, Alan Ritter, Gabriel Stanovsky
2021 — conf
Realistic Evaluation Principles for Cross-document Coreference Resolution.
*SEM
Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi, Ido Dagan
2021 J jnl
Realistic Evaluation Principles for Cross-document Coreference Resolution.
CoRR
Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi, Ido Dagan
2020 A* conf
Active Learning for Coreference Resolution using Discrete Annotation.
ACL
Belinda Z. Li, Gabriel Stanovsky, Luke Zettlemoyer
2020 J jnl
Active Learning for Coreference Resolution using Discrete Annotation.
CoRR
Belinda Z. Li, Gabriel Stanovsky, Luke Zettlemoyer
2020 A* conf
Controlled Crowdsourcing for High-Quality QA-SRL Annotation.
ACL
Paul Roit, Ayal Klein, Daniela Stepanov, Jonathan Mamou, Julian Michael, Gabriel Stanovsky, Luke Zettlemoyer, Ido Dagan
2020 J jnl
Ecological Semantics: Programming Environments for Situated Language Understanding.
CoRR
Ronen Tamari, Gabriel Stanovsky, Dafna Shahaf, Reut Tsarfaty
2020 — conf
Gender Coreference and Bias Evaluation at WMT 2020.
WMT@EMNLP
Tom Kocmi, Tomasz Limisiewicz, Gabriel Stanovsky
2020 J jnl
Gender Coreference and Bias Evaluation at WMT 2020.
CoRR
Tom Kocmi, Tomasz Limisiewicz, Gabriel Stanovsky
2020 — conf
MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics.
EMNLP (1)
Anthony Chen, Gabriel Stanovsky, Sameer Singh, Matt Gardner
2020 J jnl
MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics.
CoRR
Anthony Chen, Gabriel Stanovsky, Sameer Singh, Matt Gardner
2020 J jnl
Streamlining Cross-Document Coreference Resolution: Evaluation and Modeling.
CoRR
Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi, Ido Dagan
2020 A* conf
The Right Tool for the Job: Matching Model and Instance Complexities.
ACL
Roy Schwartz, Gabriel Stanovsky, Swabha Swayamdipta, Jesse Dodge, Noah A. Smith
2019 J jnl
Crowdsourcing a High-Quality Gold Standard for QA-SRL.
CoRR
Paul Roit, Ayal Klein, Daniela Stepanov, Jonathan Mamou, Julian Michael, Gabriel Stanovsky, Luke Zettlemoyer, Ido Dagan
2019 — conf
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs.
NAACL-HLT (1)
Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, Matt Gardner
2019 J jnl
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs.
CoRR
Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, Matt Gardner
2019 — conf
Evaluating Gender Bias in Machine Translation.
ACL (1)
Gabriel Stanovsky, Noah A. Smith, Luke Zettlemoyer
2019 J jnl
Evaluating Gender Bias in Machine Translation.
CoRR
Gabriel Stanovsky, Noah A. Smith, Luke Zettlemoyer
2019 — conf
Evaluating Question Answering Evaluation.
MRQA@EMNLP
Anthony Chen, Gabriel Stanovsky, Sameer Singh, Matt Gardner
2019 J jnl
Gender trends in computer science authorship.
CoRR
Lucy Lu Wang, Gabriel Stanovsky, Luca Weihs, Oren Etzioni
2019 B conf
On the Limits of Learning to Actively Learn Semantic Representations.
CoNLL
Omri Koshorek, Gabriel Stanovsky, Yichu Zhou, Vivek Srikumar, Jonathan Berant
2019 J jnl
On the Limits of Learning to Actively Learn Semantic Representations.
CoRR
Omri Koshorek, Gabriel Stanovsky, Yichu Zhou, Vivek Srikumar, Jonathan Berant
2019 — conf
SemEval-2019 Task 10: Math Question Answering.
SemEval@NAACL-HLT
Mark Hopkins, Ronan Le Bras, Cristian Petrescu-Prahova, Gabriel Stanovsky, Hannaneh Hajishirzi, Rik Koncel-Kedziorski
2019 — conf
Y'all should read this! Identifying Plurality in Second-Person Personal Pronouns in English Texts.
W-NUT@EMNLP
Gabriel Stanovsky, Ronen Tamari
2019 J jnl
Yall should read this! Identifying Plurality in Second-Person Personal Pronouns in English Texts.
CoRR
Gabriel Stanovsky, Ronen Tamari
2018 — conf
Crowdsourcing Question-Answer Meaning Representations.
NAACL-HLT (2)
Julian Michael, Gabriel Stanovsky, Luheng He, Ido Dagan, Luke Zettlemoyer
2018 A* conf
Semantics as a Foreign Language.
EMNLP
Gabriel Stanovsky, Ido Dagan
2018 A* conf
Spot the Odd Man Out: Exploring the Associative Power of Lexical Resources.
EMNLP
Gabriel Stanovsky, Mark Hopkins
2018 — conf
Supervised Open Information Extraction.
NAACL-HLT
Gabriel Stanovsky, Julian Michael, Luke Zettlemoyer, Ido Dagan
2017 — conf
A Consolidated Open Knowledge Representation for Multiple Texts.
LSDSem@EACL
Rachel Wities, Vered Shwartz, Gabriel Stanovsky, Meni Adler, Ori Shapira, Shyam Upadhyay, Dan Roth, Eugenio Martínez-Cámara, Iryna Gurevych, Ido Dagan
2017 — conf
Acquiring Predicate Paraphrases from News Tweets.
*SEM
Vered Shwartz, Gabriel Stanovsky, Ido Dagan
2017 J jnl
Crowdsourcing Question-Answer Meaning Representations.
CoRR
Julian Michael, Gabriel Stanovsky, Luheng He, Ido Dagan, Luke Zettlemoyer
2017 — conf
Integrating Deep Linguistic Features in Factuality Prediction over Unified Datasets.
ACL (2)
Gabriel Stanovsky, Judith Eckle-Kohler, Yevgeniy Puzikov, Ido Dagan, Iryna Gurevych
2017 — conf
Recognizing Mentions of Adverse Drug Reaction in Social Media Using Knowledge-Infused Recurrent Models.
EACL (1)
Gabriel Stanovsky, Daniel Gruhl, Pablo N. Mendes
2016 — conf
Annotating and Predicting Non-Restrictive Noun Phrase Modifications.
ACL (1)
Gabriel Stanovsky, Ido Dagan
2016 A* conf
Creating a Large Benchmark for Open Information Extraction.
EMNLP
Gabriel Stanovsky, Ido Dagan
2016 J jnl
Getting More Out Of Syntax with PropS.
CoRR
Gabriel Stanovsky, Jessica Ficler, Ido Dagan, Yoav Goldberg
2016 B conf
Modeling Extractive Sentence Intersection via Subtree Entailment.
COLING
Omer Levy, Ido Dagan, Gabriel Stanovsky, Judith Eckle-Kohler, Iryna Gurevych
2016 A* conf
Porting an Open Information Extraction System from English to German.
EMNLP
Tobias Falke, Gabriel Stanovsky, Iryna Gurevych, Ido Dagan
2016 — conf
Specifying and Annotating Reduced Argument Span Via QA-SRL.
ACL (2)
Gabriel Stanovsky, Ido Dagan, Meni Adler
2015 — conf
Open IE as an Intermediate Structure for Semantic Tasks.
ACL (2)
Gabriel Stanovsky, Ido Dagan, Mausam