Gabriel Stanovsky

Orcid: 0000-0002-2420-8979

Affiliations:
  • The Hebrew University of Jerusalem, Israel


According to our database1, Gabriel Stanovsky authored at least 62 papers between 2015 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Do Zombies Understand? A Choose-Your-Own-Adventure Exploration of Machine Cognition.
CoRR, 2024

Leveraging Collection-Wide Similarities for Unsupervised Document Structure Extraction.
CoRR, 2024

K-QA: A Real-World Medical Q&A Benchmark.
CoRR, 2024

State of What Art? A Call for Multi-Prompt LLM Evaluation.
CoRR, 2024

2023
Instructed to Bias: Instruction-Tuned Language Models Exhibit Emergent Cognitive Bias.
CoRR, 2023

Comparing Humans and Models on a Similar Scale: Towards Cognitive Gender Bias Evaluation in Coreference Resolution.
CoRR, 2023

Schema-Driven Information Extraction from Heterogeneous Tables.
CoRR, 2023

Exploring the Impact of Training Data Distribution and Subword Tokenization on Gender Bias in Machine Translation.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

The Perfect Victim: Computational Analysis of Judicial Attitudes towards Victims of Sexual Violence.
Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law, 2023

Evaluating and Improving the Coreference Capabilities of Machine Translation Models.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

A Large-Scale Multilingual Study of Visual Constraints on Linguistic Selection of Descriptions.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

VASR: Visual Analogies of Situation Recognition.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
You Can Have Your Data and Balance It Too: Towards Balanced and Efficient Multilingual Models.
CoRR, 2022

Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022).
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the Linguistic Blood Bank.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

A Computational Acquisition Model for Multimodal Word Categorization.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlations.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

"Covid vaccine is against Covid but Oxford vaccine is made at Oxford!" Semantic Interpretation of Proper Noun Compounds.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
GENIE: A Leaderboard for Human-in-the-Loop Evaluation of Text Generation.
CoRR, 2021

Gender trends in computer science authorship.
Commun. ACM, 2021

Realistic Evaluation Principles for Cross-document Coreference Resolution.
Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics, 2021

Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQA.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling Approach.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Data Efficient Masked Language Modeling for Vision and Language.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Process-Level Representation of Scientific Protocols with Interactive Annotation.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Cross-document Coreference Resolution over Predicted Mentions.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Automated Extraction of Sentencing Decisions from Court Cases in the Hebrew Language.
Proceedings of the Natural Legal Language Processing Workshop 2021, 2021

2020
Streamlining Cross-Document Coreference Resolution: Evaluation and Modeling.
CoRR, 2020

Ecological Semantics: Programming Environments for Situated Language Understanding.
CoRR, 2020

Gender Coreference and Bias Evaluation at WMT 2020.
Proceedings of the Fifth Conference on Machine Translation, 2020

MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

The Right Tool for the Job: Matching Model and Instance Complexities.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Controlled Crowdsourcing for High-Quality QA-SRL Annotation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Active Learning for Coreference Resolution using Discrete Annotation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Crowdsourcing a High-Quality Gold Standard for QA-SRL.
CoRR, 2019

Yall should read this! Identifying Plurality in Second-Person Personal Pronouns in English Texts.
CoRR, 2019

SemEval-2019 Task 10: Math Question Answering.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

On the Limits of Learning to Actively Learn Semantic Representations.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

Y'all should read this! Identifying Plurality in Second-Person Personal Pronouns in English Texts.
Proceedings of the 5th Workshop on Noisy User-generated Text, 2019

Evaluating Gender Bias in Machine Translation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Evaluating Question Answering Evaluation.
Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

2018
Supervised Open Information Extraction.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Crowdsourcing Question-Answer Meaning Representations.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Spot the Odd Man Out: Exploring the Associative Power of Lexical Resources.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Semantics as a Foreign Language.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Acquiring Predicate Paraphrases from News Tweets.
Proceedings of the 6th Joint Conference on Lexical and Computational Semantics, 2017

A Consolidated Open Knowledge Representation for Multiple Texts.
Proceedings of the 2nd Workshop on Linking Models of Lexical, 2017

Recognizing Mentions of Adverse Drug Reaction in Social Media Using Knowledge-Infused Recurrent Models.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Integrating Deep Linguistic Features in Factuality Prediction over Unified Datasets.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Getting More Out Of Syntax with PropS.
CoRR, 2016

Creating a Large Benchmark for Open Information Extraction.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Porting an Open Information Extraction System from English to German.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Modeling Extractive Sentence Intersection via Subtree Entailment.
Proceedings of the COLING 2016, 2016

Specifying and Annotating Reduced Argument Span Via QA-SRL.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Annotating and Predicting Non-Restrictive Noun Phrase Modifications.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Open IE as an Intermediate Structure for Semantic Tasks.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015


  Loading...