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Gabriel Stanovsky
Number of Papers:- 53
Number of Citations:- 54
First ACL Paper:- 2014
Latest ACL Paper:- 2024
Venues:-
NAACL
BioNLP
CoNLL
L
P
COLING
AHA
s
EMNLP
-
GeBNLP
Findings
SemEval
E
C
M
g
TACL
A
d
WS
NLLP
ACL
EACL
WMT
*SEMEVAL
i
IJCNLP
*SEM
AACL
LSDSem
N
F
n
Co-Authors:-
Alan Ritter
Alexis Palmer
Alon Eirew
Anthony Chen
Arie Cattan
Similar Authors:-
Angus Forbes
Yao Fu
Sachiko Ide
Sueharu Miyahara
Erik Bansleben
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
Instructed to Bias: Instruction-Tuned Language Models Exhibit Emergent Cognitive Bias
TACL
Itay Itzhak |
Gabriel Stanovsky |
Nir Rosenfeld |
Yonatan Belinkov |
Do Zombies Understand? A Choose-Your-Own-Adventure Exploration of Machine Cognition
F
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A
C
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Ariel Goldstein |
Gabriel Stanovsky |
Leveraging Collection-Wide Similarities for Unsupervised Document Structure Extraction
F
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s
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A
C
L
Gili Lior |
Yoav Goldberg |
Gabriel Stanovsky |
K-QA: A Real-World Medical Q&A Benchmark
BioNLP
WS
Itay Manes |
Naama Ronn |
David Cohen |
Ran Ilan Ber |
Zehavi Horowitz-Kugler |
Gabriel Stanovsky |
Applying Intrinsic Debiasing on Downstream Tasks: Challenges and Considerations for Machine Translation
EMNLP
Bar Iluz |
Yanai Elazar |
Asaf Yehudai |
Gabriel Stanovsky |
Schema-Driven Information Extraction from Heterogeneous Tables
F
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L
P
Fan Bai |
Junmo Kang |
Gabriel Stanovsky |
Dayne Freitag |
Mark Dredze |
Alan Ritter |
State of What Art? A Call for Multi-Prompt LLM Evaluation
TACL
Moran Mizrahi |
Guy Kaplan |
Dan Malkin |
Rotem Dror |
Dafna Shahaf |
Gabriel Stanovsky |
A Large-Scale Multilingual Study of Visual Constraints on Linguistic Selection of Descriptions
F
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d
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g
s
-
E
A
C
L
Uri Berger |
Lea Frermann |
Gabriel Stanovsky |
Omri Abend |
Evaluating and Improving the Coreference Capabilities of Machine Translation Models
EACL
Asaf Yehudai |
Arie Cattan |
Omri Abend |
Gabriel Stanovsky |
Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents
F
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A
C
L
Catherine Chen |
Zejiang Shen |
Dan Klein |
Gabriel Stanovsky |
Doug Downey |
Kyle Lo |
Exploring the Impact of Training Data Distribution and Subword Tokenization on Gender Bias in Machine Translation
IJCNLP
AACL
Bar Iluz |
Tomasz Limisiewicz |
Gabriel Stanovsky |
David Mareček |
A Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the Linguistic Blood Bank
NAACL
Dan Malkin |
Tomasz Limisiewicz |
Gabriel Stanovsky |
Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP)
GeBNLP
NAACL
Christian Hardmeier |
Christine Basta |
Marta R. Costa-jussà |
Gabriel Stanovsky |
Hila Gonen |
A Computational Acquisition Model for Multimodal Word Categorization
NAACL
Uri Berger |
Gabriel Stanovsky |
Omri Abend |
Lea Frermann |
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
NAACL
SemEval
Guy Emerson |
Natalie Schluter |
Gabriel Stanovsky |
Ritesh Kumar |
Alexis Palmer |
Nathan Schneider |
Siddharth Singh |
Shyam Ratan |
On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlations
Findings
NAACL
Roy Schwartz |
Gabriel Stanovsky |
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 Weld |
“Covid vaccine is against Covid but Oxford vaccine is made at Oxford!” Semantic Interpretation of Proper Noun Compounds
EMNLP
Keshav Kolluru |
Gabriel Stanovsky |
Mausam - |
Process-Level Representation of Scientific Protocols with Interactive Annotation
EACL
Ronen Tamari |
Fan Bai |
Alan Ritter |
Gabriel Stanovsky |
Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQA
NAACL
Yonatan Bitton |
Gabriel Stanovsky |
Roy Schwartz |
Michael Elhadad |
Realistic Evaluation Principles for Cross-document Coreference Resolution
*SEM
ACL
IJCNLP
Arie Cattan |
Alon Eirew |
Gabriel Stanovsky |
Mandar Joshi |
Ido Dagan |
Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation
EMNLP
Findings
Shahar Levy |
Koren Lazar |
Gabriel Stanovsky |
Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling Approach
EMNLP
Koren Lazar |
Benny Saret |
Asaf Yehudai |
Wayne Horowitz |
Nathan Wasserman |
Gabriel Stanovsky |
Automated Extraction of Sentencing Decisions from Court Cases in the Hebrew Language
EMNLP
NLLP
Mohr Wenger |
Tom Kalir |
Noga Berger |
Carmit Klar Chalamish |
Renana Keydar |
Gabriel Stanovsky |
Data Efficient Masked Language Modeling for Vision and Language
EMNLP
Findings
Yonatan Bitton |
Michael Elhadad |
Gabriel Stanovsky |
Roy Schwartz |
Cross-document Coreference Resolution over Predicted Mentions
Findings
Arie Cattan |
Alon Eirew |
Gabriel Stanovsky |
Mandar Joshi |
Ido Dagan |
The Right Tool for the Job: Matching Model and Instance Complexities
ACL
Roy Schwartz |
Gabriel Stanovsky |
Swabha Swayamdipta |
Jesse Dodge |
Noah A. Smith |
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 |
Active Learning for Coreference Resolution using Discrete Annotation
ACL
Belinda Z. Li |
Gabriel Stanovsky |
Luke Zettlemoyer |
Gender Coreference and Bias Evaluation at WMT 2020
EMNLP
WMT
Tom Kocmi |
Tomasz Limisiewicz |
Gabriel Stanovsky |
MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics
EMNLP
Anthony Chen |
Gabriel Stanovsky |
Sameer Singh |
Matt Gardner |
Y’all should read this! Identifying Plurality in Second-Person Personal Pronouns in English Texts
EMNLP
WS
Gabriel Stanovsky |
Ronen Tamari |
Evaluating Question Answering Evaluation
EMNLP
WS
Anthony Chen |
Gabriel Stanovsky |
Sameer Singh |
Matt Gardner |
On the Limits of Learning to Actively Learn Semantic Representations
CoNLL
Omri Koshorek |
Gabriel Stanovsky |
Yichu Zhou |
Vivek Srikumar |
Jonathan Berant |
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs
NAACL
Dheeru Dua |
Yizhong Wang |
Pradeep Dasigi |
Gabriel Stanovsky |
Sameer Singh |
Matt Gardner |
Evaluating Gender Bias in Machine Translation
ACL
Gabriel Stanovsky |
Noah A. Smith |
Luke Zettlemoyer |
SemEval-2019 Task 10: Math Question Answering
*SEMEVAL
Mark Hopkins |
Ronan Le Bras |
Cristian Petrescu-Prahova |
Gabriel Stanovsky |
Hannaneh Hajishirzi |
Rik Koncel-Kedziorski |
Spot the Odd Man Out: Exploring the Associative Power of Lexical Resources
EMNLP
Gabriel Stanovsky |
Mark Hopkins |
Semantics as a Foreign Language
EMNLP
Gabriel Stanovsky |
Ido Dagan |
Supervised Open Information Extraction
NAACL
Gabriel Stanovsky |
Julian Michael |
Luke Zettlemoyer |
Ido Dagan |
Crowdsourcing Question-Answer Meaning Representations
NAACL
Julian Michael |
Gabriel Stanovsky |
Luheng He |
Ido Dagan |
Luke Zettlemoyer |
Recognizing Mentions of Adverse Drug Reaction in Social Media Using Knowledge-Infused Recurrent Models
EACL
Gabriel Stanovsky |
Daniel Gruhl |
Pablo Mendes |
Integrating Deep Linguistic Features in Factuality Prediction over Unified Datasets
ACL
Gabriel Stanovsky |
Judith Eckle-Kohler |
Yevgeniy Puzikov |
Ido Dagan |
Iryna Gurevych |
Acquiring Predicate Paraphrases from News Tweets
*SEMEVAL
Vered Shwartz |
Gabriel Stanovsky |
Ido Dagan |
A Consolidated Open Knowledge Representation for Multiple Texts
LSDSem
WS
Rachel Wities |
Vered Shwartz |
Gabriel Stanovsky |
Meni Adler |
Ori Shapira |
Shyam Upadhyay |
Dan Roth |
Eugenio Martinez Camara |
Iryna Gurevych |
Ido Dagan |
Modeling Extractive Sentence Intersection via Subtree Entailment
COLING
Omer Levy |
Ido Dagan |
Gabriel Stanovsky |
Judith Eckle-Kohler |
Iryna Gurevych |
Porting an Open Information Extraction System from English to German
EMNLP
Tobias Falke |
Gabriel Stanovsky |
Iryna Gurevych |
Ido Dagan |
Creating a Large Benchmark for Open Information Extraction
EMNLP
Gabriel Stanovsky |
Ido Dagan |
Annotating and Predicting Non-Restrictive Noun Phrase Modifications
ACL
Gabriel Stanovsky |
Ido Dagan |
Specifying and Annotating Reduced Argument Span Via QA-SRL
ACL
Gabriel Stanovsky |
Ido Dagan |
Meni Adler |
Open IE as an Intermediate Structure for Semantic Tasks
ACL
IJCNLP
Gabriel Stanovsky |
Ido Dagan |
Mausam |
Intermediary Semantic Representation through Proposition Structures
WS
Gabriel Stanovsky |
Jessica Ficler |
Ido Dagan |
Yoav Goldberg |
Proposition Knowledge Graphs
AHA
WS
Gabriel Stanovsky |
Omer Levy |
Ido Dagan |
Linguistic
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Language
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