Gabriel Stanovsky

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 96

Top Topics

Machine Translation

Coreference Resolution

Open Information Extraction

Top Venues

Publications

Itay Manes, Naama Ronn, David Cohen, Ran Ilan Ber, Zehavi Horowitz-Kugler, Gabriel Stanovsky
K-QA: A Real-World Medical Q&A Benchmark. CoRR (2024)
Gili Lior, Yoav Goldberg, Gabriel Stanovsky
Leveraging Collection-Wide Similarities for Unsupervised Document Structure Extraction. ACL (Findings) (2024)
Moran Mizrahi, Guy Kaplan, Dan Malkin, Rotem Dror, Dafna Shahaf, Gabriel Stanovsky
State of What Art? A Call for Multi-Prompt LLM Evaluation. CoRR (2024)
Ariel Goldstein, Gabriel Stanovsky
Do Zombies Understand? A Choose-Your-Own-Adventure Exploration of Machine Cognition. ACL (Findings) (2024)
Ariel Goldstein, Gabriel Stanovsky
Do Zombies Understand? A Choose-Your-Own-Adventure Exploration of Machine Cognition. CoRR (2024)
Asaf Yehudai, Taelin Karidi, Gabriel Stanovsky, Ariel Goldstein, Omri Abend
A Nurse is Blue and Elephant is Rugby: Cross Domain Alignment in Large Language Models Reveal Human-like Patterns. CoRR (2024)
Bar Iluz, Yanai Elazar, Asaf Yehudai, Gabriel Stanovsky
Applying Intrinsic Debiasing on Downstream Tasks: Challenges and Considerations for Machine Translation. CoRR (2024)
Uri Berger, Tal Baumel, Gabriel Stanovsky
In-Context Learning on a Budget: A Case Study in Named Entity Recognition. CoRR (2024)
Gili Lior, Avi Caciularu, Arie Cattan, Shahar Levy, Ori Shapira, Gabriel Stanovsky
SEAM: A Stochastic Benchmark for Multi-Document Tasks. CoRR (2024)
Gili Lior, Yoav Goldberg, Gabriel Stanovsky
Leveraging Collection-Wide Similarities for Unsupervised Document Structure Extraction. CoRR (2024)
Eliya Habba, Renana Keydar, Dan Bareket, Gabriel Stanovsky
The Perfect Victim: Computational Analysis of Judicial Attitudes towards Victims of Sexual Violence. CoRR (2023)
Yonatan Bitton, Ron Yosef, Eliyahu Strugo, Dafna Shahaf, Roy Schwartz, Gabriel Stanovsky
VASR: Visual Analogies of Situation Recognition. AAAI (2023)
Itay Itzhak, Gabriel Stanovsky, Nir Rosenfeld, Yonatan Belinkov
Instructed to Bias: Instruction-Tuned Language Models Exhibit Emergent Cognitive Bias. CoRR (2023)
Catherine Chen, Zejiang Shen, Dan Klein, Gabriel Stanovsky, Doug Downey, Kyle Lo
Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents. ACL (Findings) (2023)
Bar Iluz, Tomasz Limisiewicz, Gabriel Stanovsky, David Marecek
Exploring the Impact of Training Data Distribution and Subword Tokenization on Gender Bias in Machine Translation. CoRR (2023)
Asaf Yehudai, Arie Cattan, Omri Abend, Gabriel Stanovsky
Evaluating and Improving the Coreference Capabilities of Machine Translation Models. EACL (2023)
Asaf Yehudai, Arie Cattan, Omri Abend, Gabriel Stanovsky
Evaluating and Improving the Coreference Capabilities of Machine Translation Models. CoRR (2023)
Gili Lior, Gabriel Stanovsky
Comparing Humans and Models on a Similar Scale: Towards Cognitive Gender Bias Evaluation in Coreference Resolution. CogSci (2023)
Fan Bai, Junmo Kang, Gabriel Stanovsky, Dayne Freitag, Alan Ritter
Schema-Driven Information Extraction from Heterogeneous Tables. CoRR (2023)
Eliya Habba, Renana Keydar, Dan Bareket, Gabriel Stanovsky
The Perfect Victim: Computational Analysis of Judicial Attitudes towards Victims of Sexual Violence. ICAIL (2023)
Bar Iluz, Tomasz Limisiewicz, Gabriel Stanovsky, David Marecek
Exploring the Impact of Training Data Distribution and Subword Tokenization on Gender Bias in Machine Translation. IJCNLP (1) (2023)
Uri Berger, Lea Frermann, Gabriel Stanovsky, Omri Abend
A Large-Scale Multilingual Study of Visual Constraints on Linguistic Selection of Descriptions. CoRR (2023)
Nitzan Bitton Guetta, Yonatan Bitton, Jack Hessel, Ludwig Schmidt, Yuval Elovici, Gabriel Stanovsky, Roy Schwartz
Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images. ICCV (2023)
Gili Lior, Gabriel Stanovsky
Comparing Humans and Models on a Similar Scale: Towards Cognitive Gender Bias Evaluation in Coreference Resolution. CoRR (2023)
Catherine Chen, Zejiang Shen, Dan Klein, Gabriel Stanovsky, Doug Downey, Kyle Lo
Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents. CoRR (2023)
Nitzan Bitton Guetta, Yonatan Bitton, Jack Hessel, Ludwig Schmidt, Yuval Elovici, Gabriel Stanovsky, Roy Schwartz
Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images. CoRR (2023)
Uri Berger, Lea Frermann, Gabriel Stanovsky, Omri Abend
A Large-Scale Multilingual Study of Visual Constraints on Linguistic Selection of Descriptions. EACL (Findings) (2023)
Roy Schwartz, Gabriel Stanovsky
On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlations. CoRR (2022)
Tomasz Limisiewicz, Dan Malkin, Gabriel Stanovsky
You Can Have Your Data and Balance It Too: Towards Balanced and Efficient Multilingual Models. CoRR (2022)
Uri Berger, Gabriel Stanovsky, Omri Abend, Lea Frermann
A Computational Acquisition Model for Multimodal Word Categorization. NAACL-HLT (2022)
Keshav Kolluru, Gabriel Stanovsky, Mausam
"Covid vaccine is against Covid but Oxford vaccine is made at Oxford!" Semantic Interpretation of Proper Noun Compounds. CoRR (2022)
Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, Nicholas Lourie, Jungo Kasai, Yejin Choi, Noah A. Smith, Daniel S. Weld
GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation. EMNLP (2022)
Yonatan Bitton, Nitzan Bitton Guetta, Ron Yosef, Yuval Elovici, Mohit Bansal, Gabriel Stanovsky, Roy Schwartz
WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language Models. NeurIPS (2022)
Dan Malkin, Tomasz Limisiewicz, Gabriel Stanovsky
A Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the Linguistic Blood Bank. NAACL-HLT (2022)
Uri Berger, Gabriel Stanovsky, Omri Abend, Lea Frermann
A Computational Acquisition Model for Multimodal Word Categorization. CoRR (2022)
Dan Malkin, Tomasz Limisiewicz, Gabriel Stanovsky
A Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the Linguistic Blood Bank. CoRR (2022)
Keshav Kolluru, Gabriel Stanovsky, Mausam
"Covid vaccine is against Covid but Oxford vaccine is made at Oxford!" Semantic Interpretation of Proper Noun Compounds. EMNLP (2022)
Guy Emerson, Natalie Schluter, Gabriel Stanovsky, Ritesh Kumar, Alexis Palmer, Nathan Schneider, Siddharth Singh, Shyam Ratan
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022). SemEval@NAACL (2022)
Yonatan Bitton, Ron Yosef, Eli Strugo, Dafna Shahaf, Roy Schwartz, Gabriel Stanovsky
VASR: Visual Analogies of Situation Recognition. CoRR (2022)
Roy Schwartz, Gabriel Stanovsky
On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlations. NAACL-HLT (Findings) (2022)
Yonatan Bitton, Nitzan Bitton Guetta, Ron Yosef, Yuval Elovici, Mohit Bansal, Gabriel Stanovsky, Roy Schwartz
WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language Models. CoRR (2022)
Koren Lazar, Benny Saret, Asaf Yehudai, Wayne Horowitz, Nathan Wasserman, Gabriel Stanovsky
Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling Approach. EMNLP (1) (2021)
Lucy Lu Wang, Gabriel Stanovsky, Luca Weihs, Oren Etzioni
Gender trends in computer science authorship. Commun. ACM 64 (3) (2021)
Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, Nicholas Lourie, Jungo Kasai, Yejin Choi, Noah A. Smith, Daniel S. Weld
GENIE: A Leaderboard for Human-in-the-Loop Evaluation of Text Generation. CoRR (2021)
Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi, Ido Dagan
Cross-document Coreference Resolution over Predicted Mentions. ACL/IJCNLP (Findings) (2021)
Ronen Tamari, Fan Bai, Alan Ritter, Gabriel Stanovsky
Process-Level Representation of Scientific Protocols with Interactive Annotation. EACL (2021)
Yonatan Bitton, Gabriel Stanovsky, Michael Elhadad, Roy Schwartz
Data Efficient Masked Language Modeling for Vision and Language. CoRR (2021)
Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi, Ido Dagan
Cross-document Coreference Resolution over Predicted Mentions. CoRR (2021)
Mohr Wenger, Tom Kalir, Noga Berger, Carmit Chalamish, Renana Keydar, Gabriel Stanovsky
Automated Extraction of Sentencing Decisions from Court Cases in the Hebrew Language. CoRR (2021)
Shahar Levy, Koren Lazar, Gabriel Stanovsky
Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation. EMNLP (Findings) (2021)
Yonatan Bitton, Michael Elhadad, Gabriel Stanovsky, Roy Schwartz
Data Efficient Masked Language Modeling for Vision and Language. EMNLP (Findings) (2021)
Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi, Ido Dagan
Realistic Evaluation Principles for Cross-document Coreference Resolution. *SEM (2021)
Yonatan Bitton, Gabriel Stanovsky, Roy Schwartz, Michael Elhadad
Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQA. NAACL-HLT (2021)
Yonatan Bitton, Gabriel Stanovsky, Roy Schwartz, Michael Elhadad
Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQA. CoRR (2021)
Mohr Wenger, Tom Kalir, Noga Berger, Carmit Klar Chalamish, Renana Keydar, Gabriel Stanovsky
Automated Extraction of Sentencing Decisions from Court Cases in the Hebrew Language. NLLP@EMNLP (2021)
Ronen Tamari, Fan Bai, Alan Ritter, Gabriel Stanovsky
Process-Level Representation of Scientific Protocols with Interactive Annotation. CoRR (2021)
Shahar Levy, Koren Lazar, Gabriel Stanovsky
Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation. CoRR (2021)
Koren Lazar, Benny Saret, Asaf Yehudai, Wayne Horowitz, Nathan Wasserman, Gabriel Stanovsky
Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling Approach. CoRR (2021)
Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi, Ido Dagan
Realistic Evaluation Principles for Cross-document Coreference Resolution. CoRR (2021)
Belinda Z. Li, Gabriel Stanovsky, Luke Zettlemoyer
Active Learning for Coreference Resolution using Discrete Annotation. ACL (2020)
Belinda Z. Li, Gabriel Stanovsky, Luke Zettlemoyer
Active Learning for Coreference Resolution using Discrete Annotation. CoRR (2020)
Anthony Chen, Gabriel Stanovsky, Sameer Singh, Matt Gardner
MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics. CoRR (2020)
Anthony Chen, Gabriel Stanovsky, Sameer Singh, Matt Gardner
MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics. EMNLP (1) (2020)
Paul Roit, Ayal Klein, Daniela Stepanov, Jonathan Mamou, Julian Michael, Gabriel Stanovsky, Luke Zettlemoyer, Ido Dagan
Controlled Crowdsourcing for High-Quality QA-SRL Annotation. ACL (2020)
Tom Kocmi, Tomasz Limisiewicz, Gabriel Stanovsky
Gender Coreference and Bias Evaluation at WMT 2020. WMT@EMNLP (2020)
Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi, Ido Dagan
Streamlining Cross-Document Coreference Resolution: Evaluation and Modeling. CoRR (2020)
Tom Kocmi, Tomasz Limisiewicz, Gabriel Stanovsky
Gender Coreference and Bias Evaluation at WMT 2020. CoRR (2020)
Ronen Tamari, Gabriel Stanovsky, Dafna Shahaf, Reut Tsarfaty
Ecological Semantics: Programming Environments for Situated Language Understanding. CoRR (2020)
Roy Schwartz, Gabriel Stanovsky, Swabha Swayamdipta, Jesse Dodge, Noah A. Smith
The Right Tool for the Job: Matching Model and Instance Complexities. ACL (2020)
Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, Matt Gardner
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs. CoRR (2019)
Anthony Chen, Gabriel Stanovsky, Sameer Singh, Matt Gardner
Evaluating Question Answering Evaluation. MRQA@EMNLP (2019)
Mark Hopkins, Ronan Le Bras, Cristian Petrescu-Prahova, Gabriel Stanovsky, Hannaneh Hajishirzi, Rik Koncel-Kedziorski
SemEval-2019 Task 10: Math Question Answering. SemEval@NAACL-HLT (2019)
Gabriel Stanovsky, Ronen Tamari
Yall should read this! Identifying Plurality in Second-Person Personal Pronouns in English Texts. CoRR (2019)
Gabriel Stanovsky, Ronen Tamari
Y'all should read this! Identifying Plurality in Second-Person Personal Pronouns in English Texts. W-NUT@EMNLP (2019)
Lucy Lu Wang, Gabriel Stanovsky, Luca Weihs, Oren Etzioni
Gender trends in computer science authorship. CoRR (2019)
Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, Matt Gardner
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs. NAACL-HLT (1) (2019)
Omri Koshorek, Gabriel Stanovsky, Yichu Zhou, Vivek Srikumar, Jonathan Berant
On the Limits of Learning to Actively Learn Semantic Representations. CoRR (2019)
Omri Koshorek, Gabriel Stanovsky, Yichu Zhou, Vivek Srikumar, Jonathan Berant
On the Limits of Learning to Actively Learn Semantic Representations. CoNLL (2019)
Gabriel Stanovsky, Noah A. Smith, Luke Zettlemoyer
Evaluating Gender Bias in Machine Translation. ACL (1) (2019)
Gabriel Stanovsky, Noah A. Smith, Luke Zettlemoyer
Evaluating Gender Bias in Machine Translation. CoRR (2019)
Paul Roit, Ayal Klein, Daniela Stepanov, Jonathan Mamou, Julian Michael, Gabriel Stanovsky, Luke Zettlemoyer, Ido Dagan
Crowdsourcing a High-Quality Gold Standard for QA-SRL. CoRR (2019)
Gabriel Stanovsky, Julian Michael, Luke Zettlemoyer, Ido Dagan
Supervised Open Information Extraction. NAACL-HLT (2018)
Gabriel Stanovsky, Mark Hopkins
Spot the Odd Man Out: Exploring the Associative Power of Lexical Resources. EMNLP (2018)
Gabriel Stanovsky, Ido Dagan
Semantics as a Foreign Language. EMNLP (2018)
Julian Michael, Gabriel Stanovsky, Luheng He, Ido Dagan, Luke Zettlemoyer
Crowdsourcing Question-Answer Meaning Representations. NAACL-HLT (2) (2018)
Julian Michael, Gabriel Stanovsky, Luheng He, Ido Dagan, Luke Zettlemoyer
Crowdsourcing Question-Answer Meaning Representations. CoRR (2017)
Vered Shwartz, Gabriel Stanovsky, Ido Dagan
Acquiring Predicate Paraphrases from News Tweets. *SEM (2017)
Gabriel Stanovsky, Daniel Gruhl, Pablo N. Mendes
Recognizing Mentions of Adverse Drug Reaction in Social Media Using Knowledge-Infused Recurrent Models. EACL (1) (2017)
Gabriel Stanovsky, Judith Eckle-Kohler, Yevgeniy Puzikov, Ido Dagan, Iryna Gurevych
Integrating Deep Linguistic Features in Factuality Prediction over Unified Datasets. ACL (2) (2017)
Rachel Wities, Vered Shwartz, Gabriel Stanovsky, Meni Adler, Ori Shapira, Shyam Upadhyay, Dan Roth, Eugenio Martínez-Cámara, Iryna Gurevych, Ido Dagan
A Consolidated Open Knowledge Representation for Multiple Texts. LSDSem@EACL (2017)
Omer Levy, Ido Dagan, Gabriel Stanovsky, Judith Eckle-Kohler, Iryna Gurevych
Modeling Extractive Sentence Intersection via Subtree Entailment. COLING (2016)
Gabriel Stanovsky, Ido Dagan, Meni Adler
Specifying and Annotating Reduced Argument Span Via QA-SRL. ACL (2) (2016)
Gabriel Stanovsky, Ido Dagan
Creating a Large Benchmark for Open Information Extraction. EMNLP (2016)
Tobias Falke, Gabriel Stanovsky, Iryna Gurevych, Ido Dagan
Porting an Open Information Extraction System from English to German. EMNLP (2016)
Gabriel Stanovsky, Ido Dagan
Annotating and Predicting Non-Restrictive Noun Phrase Modifications. ACL (1) (2016)
Gabriel Stanovsky, Jessica Ficler, Ido Dagan, Yoav Goldberg
Getting More Out Of Syntax with PropS. CoRR (2016)
Gabriel Stanovsky, Ido Dagan, Mausam
Open IE as an Intermediate Structure for Semantic Tasks. ACL (2) (2015)