Publications

Filter: All - Model Analysis - Semantic Representations - Downstream Applications

2021

Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQA
Yonatan Bitton, Gabriel Stanovsky, Roy Schwartz, Mihchael Elhadad
NAACL 2021
CODE

GENIE: A Leaderboard for Human-in-the-Loop Evaluation of Text Generation
Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, Nicholas Lourie, Jungo Kasai, Yejin Choi, Noah A. Smith, Daniel S. Weld
Media coverage: VentureBeat
preprint
PROJECT

Process-Level Representation of Scientific Protocols with Interactive Annotation
Ronen Tamari, Fan Bai, Alan Ritter, Gabriel Stanovsky
EACL 2021
PROJECT

Gender Trends in Computer Science Authorship
Lucy Lu Wang, Gabriel Stanovsky, Luca Weihs, Oren Etzioni
Communications of the ACM
Media coverage: New York Times, Science, AXIOS, GeekWire
BIB

2020

Gender Coreference and Bias Evaluation at WMT 2020
Tom Kocmi, Tomasz Limisiewicz, Gabriel Stanovsky
Conference on Machine Translation (WMT20)
CODE

MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics
Anthony Chen, Gabriel Stanovsky, Sameer Singh, Matt Gardner
EMNLP 2020
PROJECT-PAGE BIB

The Right Tool for the Job: Matching Model and Instance Complexities
Roy Schwartz, Gabriel Stanovsky, Swabha Swayamdipta, Jesse Dodge, Noah Smith
ACL 2020
CODE TALK BIB

Crowdsourcing a High-Quality Gold Standard for QA-SRL
Paul Roit, Ayal Klein, Daniela Stepanov, Jonathan Mamou, Julian Michael, Gabriel Stanovsky, Luke Zettlemoyer, Ido Dagan
ACL 2020
TALK BIB

Active Learning for Coreference Resolution using Discrete Annotation
Belinda Li, Gabriel Stanovsky, Luke Zettlemoyer
ACL 2020
Annotation-interface CODE TALK BIB

Ecological Semantics: Programming Environments for Situated Language Understanding
Ronen Tamari, Gabriel Stanovsky, Dafna Shahaf, Reut Tsarfaty
BAICS workshop at ICLR2020
DEMO TALK BIB

2019

Evaluating Gender Bias in Machine Translation
🎉 Nominated for Best Paper award (top 1% of submissions)
Gabriel Stanovsky, Noah Smith, Luke Zettlemoyer
ACL 2019
BLOG CODE TALK SLIDES POSTER BIB

SemEval-2019 Task 10 - Math Question Answering
Mark Hopkins, Ronan Le Bras, Cristian Petrescu-Prahova, Gabriel Stanovsky, Hannaneh Hajishirzi, Rik Koncel-Kedziorski
SemEval 2019
CodaLab BIB

DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs
Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh and Matt Gardner
NAACL 2019
PROJECT BIB

Y’all should read this! Identifying Plurality in Second-Person Personal Pronouns in English Texts
Gabriel Stanovsky, Ronen Tamari
Workshop on Noisy User-generated Text (W-NUT), EMNLP workshop
DATA POSTER BIB

Evaluating Question Answering Evaluation
🎉 Won the Best Paper award
Anthony Chen, Gabriel Stanovsky, Sameer Singh and Matt Gardner
Machine Reading for Question Answering (MRQA), EMNLP workshop
BIB

On the Limits of Learning to Actively Learn Semantic Representations
🎉 Honorable mention for best paper
Omri Koshorek, Gabriel Stanovsky, Yichu Zhou, Vivek Srikumar and Jonathan Berant
CoNLL 2019
BIB

2018

Spot the Odd Man Out; Exploring the Associative Power of Lexical Resources
Gabriel Stanovsky, Mark Hopkins
EMNLP 2018
CODE POSTER BIB

Semantics as a Foreign Language
Gabriel Stanovsky, Ido Dagan
EMNLP 2018
TALK SLIDES BIB

Supervised Open Information Extraction
Gabriel Stanovsky, Julian Michael, Luke Zettlemoyer, Ido Dagan
NAACL 2018
DEMO CODE POSTER BIB

Crowdsourcing Question-Answer Meaning Representations
Julian Michael, Gabriel Stanovsky, Luheng He, Ido Dagan, Luke Zettlemoyer
NAACL 2018
DATA CODE BIB

2017

Integrating Deep Linguistic Features in Factuality Prediction over Unified Datasets
Gabriel Stanovsky, Judith Eckle-Kohler, Yevgeniy Puzikov, Ido Dagan and Iryna Gurevych
ACL 2017
DEMO CODE SLIDES POSTER BIB

Acquiring Predicate Paraphrases from News Tweets
Vered Shwartz, Gabriel Stanovsky, and Ido Dagan
STARSEM 2017
CODE BIB

A Consolidated Open Knowledge Representation for Multiple Texts
Rachel Wities, Vered Shwartz, Gabriel Stanovsky, Meni Adler, Ori Shapira, Shyam Upadhyay, Dan Roth, Eugenio Martinez Camara, Iryna Gurevych, Ido Dagan
EACL 2017, LSDSem Workshop
CODE SLIDES POSTER BIB

Recognizing Mentions of Adverse Drug Reaction in Social Media Using Knowledge-Infused Recurrent Models
Gabriel Stanovsky, Daniel Gruhl, Pablo N. Mendes
EACL 2017
DATA SLIDES POSTER BIB

2016

Modeling Extractive Sentence Intersection via Subtree Entailment
Omer Levy, Ido Dagan, Gabriel Stanovsky, Judith Eckle-Kohler, Iryna Gurevych
COLING 2016
CODE BIB

Creating a Large Benchmark for Open Information Extraction
Gabriel Stanovsky, Ido Dagan
EMNLP 2016
CODE TALK SLIDES BIB

Porting an Open Information Extraction System from English to German
Tobias Falke, Gabriel Stanovsky, Iryna Gurevych, Ido Dagan
EMNLP 2016
CODE POSTER BIB

Annotating and Predicting Non-Restrictive Noun Phrase Modifications
Gabriel Stanovsky, Ido Dagan
ACL 2016
CODE POSTER BIB

Specifying and Annotating Reduced Argument Span Via QA-SRL
Gabriel Stanovsky, Meni Adler, Ido Dagan
ACL 2016
TALK SLIDES BIB

Getting More Out Of Syntax with PropS
Gabriel Stanovsky, Jessica Ficler, Ido Dagan, Yoav Goldberg
arXiv preprint, March 2016
CODE SLIDES BIB

2015

Open IE as an Intermediate Structure for Semantic Tasks
Gabriel Stanovsky, Ido Dagan, Mausam
ACL 2015
OIE-EMBEDDINGS TALK SLIDES BIB

2014

Proposition Knowledge Graphs
Gabriel Stanovsky, Omer Levy, Ido Dagan
COLING 2014, AHA Workshop
SLIDES POSTER BIB

Intermediary Semantic Representation Through Proposition Structures
Gabriel Stanovsky, Jessica Ficler, Ido Dagan, Yoav Goldberg
ACL 2014, Semantic Parsing Workshop
POSTER BIB

2012

Hebrew Paraphrase Identification
Gabriel Stanovsky, Michael Elhadad
Msc Thesis
BIB

---