Vered Shwartz

According to our database, Vered Shwartz authored at least 55 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Stance Reasoner: Zero-Shot Stance Detection on Social Media with Explicit Reasoning.

Maksym Taranukhin, Vered Shwartz, Evangelos Milios

CoRR, 2024

Empowering Air Travelers: A Chatbot for Canadian Air Passenger Rights.

Maksym Taranukhin, Sahithya Ravi, Gábor Lukács, Evangelos Milios, Vered Shwartz

CoRR, 2024

Small But Funny: A Feedback-Driven Approach to Humor Distillation.

Sahithya Ravi, Patrick Huber, Akshat Shrivastava, Adithya Sagar, Ahmed Aly, Vered Shwartz, Arash Einolghozati

CoRR, 2024

Clever Hans or Neural Theory of Mind? Stress Testing Social Reasoning in Large Language Models.

Natalie Shapira, Mosh Levy, Seyed Hossein Alavi, Xuhui Zhou, Yejin Choi, Yoav Goldberg, Maarten Sap, Vered Shwartz

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Automatic Evaluation of Generative Models with Instruction Tuning.

Shuhaib Mehri, Vered Shwartz

CoRR, 2023

From chocolate bunny to chocolate crocodile: Do Language Models Understand Noun Compounds?

Jordan Coil, Vered Shwartz

CoRR, 2023

VLC-BERT: Visual Question Answering with Contextualized Commonsense Knowledge.

Sahithya Ravi, Aditya Chinchure, Leonid Sigal, Renjie Liao, Vered Shwartz

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

COMET-M: Reasoning about Multiple Events in Complex Sentences.

Sahithya Ravi, Raymond Ng, Vered Shwartz

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Knowledge Graph Compression Enhances Diverse Commonsense Generation.

EunJeong Hwang, Veronika Thost, Vered Shwartz, Tengfei Ma

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

MemeCap: A Dataset for Captioning and Interpreting Memes.

EunJeong Hwang, Vered Shwartz

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CASE: Commonsense-Augmented Score with an Expanded Answer Space.

Wenkai Chen, Sahithya Ravi, Vered Shwartz

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

GD-COMET: A Geo-Diverse Commonsense Inference Model.

Mehar Bhatia, Vered Shwartz

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

What happens before and after: Multi-Event Commonsense in Event Coreference Resolution.

Sahithya Ravi, Chris Tanner, Raymond Ng, Vered Shwartz

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

From chocolate bunny to chocolate crocodile: Do Language Models Understand Noun Compounds?

Albert Coil, Vered Shwartz

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

It's not Rocket Science: Interpreting Figurative Language in Narratives.

Tuhin Chakrabarty, Yejin Choi, Vered Shwartz

Trans. Assoc. Comput. Linguistics, 2022

Good Night at 4 pm?! Time Expressions in Different Cultures.

Vered Shwartz

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Dissertation Abstract: Learning High Precision Lexical Inferences.

Vered Shwartz

Künstliche Intell., 2021

Teach the Rules, Provide the Facts: Targeted Relational-knowledge Enhancement for Textual Inference.

Ohad Rozen, Shmuel Amar, Vered Shwartz, Ido Dagan

Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics, 2021

A Long Hard Look at MWEs in the Age of Language Models.

Vered Shwartz

Proceedings of the 17th Workshop on Multiword Expressions, 2021

Uncovering Implicit Gender Bias in Narratives through Commonsense Inference.

Tenghao Huang, Faeze Brahman, Vered Shwartz, Snigdha Chaturvedi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Surface Form Competition: Why the Highest Probability Answer Isn't Always Right.

Ari Holtzman, Peter West, Vered Shwartz, Yejin Choi, Luke Zettlemoyer

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Paragraph-level Commonsense Transformers with Recurrent Memory.

Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision.

Faeze Brahman, Vered Shwartz, Rachel Rudinger, Yejin Choi

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

The Association for the Advancement of Artificial Intelligence 2020 Workshop Program.

Grace Bang, Guy Barash, Ryan Beal, Jacques Calì, Mauricio Castillo-Effen, Xin Cynthia Chen, Niyati Chhaya, Rachel Cummings, Rohan Dhoopar, Sebastijan Dumancic, Huáscar Espinoza, Eitan Farchi, Ferdinando Fioretto, Raquel Fuentetaja, Christopher William Geib, Odd Erik Gundersen, José Hernández-Orallo, Xiaowei Huang, Kokil Jaidka, Sarah Keren, Seokhwan Kim, Michel Galley, Xiaomo Liu, Tyler Lu, Zhiqiang Ma, Richard Mallah, John A. McDermid, Martin Michalowski, Reuth Mirsky, Seán Ó hÉigeartaigh, Deepak Ramachandran, Javier Segovia Aguas, Onn Shehory, Arash Shaban-Nejad, Vered Shwartz, Siddharth Srivastava, Kartik Talamadupula, Jian Tang, Pascal Van Hentenryck, Dell Zhang, Jian Zhang

AI Mag., 2020

Unsupervised Commonsense Question Answering with Self-Talk.

Vered Shwartz, Peter West, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

"You are grounded!": Latent Name Artifacts in Pre-trained Language Models.

Vered Shwartz, Rachel Rudinger, Oyvind Tafjord

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Thinking Like a Skeptic: Defeasible Inference in Natural Language.

Rachel Rudinger, Vered Shwartz, Jena D. Hwang, Chandra Bhagavatula, Maxwell Forbes, Ronan Le Bras, Noah A. Smith, Yejin Choi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning.

Lianhui Qin, Vered Shwartz, Peter West, Chandra Bhagavatula, Jena D. Hwang, Ronan Le Bras, Antoine Bosselut, Yejin Choi

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Paraphrasing vs Coreferring: Two Sides of the Same Coin.

Yehudit Meged, Avi Caciularu, Vered Shwartz, Ido Dagan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Social Chemistry 101: Learning to Reason about Social and Moral Norms.

Maxwell Forbes, Jena D. Hwang, Vered Shwartz, Maarten Sap, Yejin Choi

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Do Neural Language Models Overcome Reporting Bias?

Vered Shwartz, Yejin Choi

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Commonsense Reasoning for Natural Language Processing.

Maarten Sap, Vered Shwartz, Antoine Bosselut, Yejin Choi, Dan Roth

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, 2020

2019

Still a Pain in the Neck: Evaluating Text Representations on Lexical Composition.

Vered Shwartz, Ido Dagan

Trans. Assoc. Comput. Linguistics, 2019

Evaluating Text GANs as Language Models.

Guy Tevet, Gavriel Habib, Vered Shwartz, Jonathan Berant

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

A Systematic Comparison of English Noun Compound Representations.

Vered Shwartz

Proceedings of the Joint Workshop on Multiword Expressions and WordNet, 2019

Diversify Your Datasets: Analyzing Generalization via Controlled Variance in Adversarial Datasets.

Ohad Rozen, Vered Shwartz, Roee Aharoni, Ido Dagan

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution.

Shany Barhom, Vered Shwartz, Alon Eirew, Michael Bugert, Nils Reimers, Ido Dagan

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Olive Oil is Made of Olives, Baby Oil is Made for Babies: Interpreting Noun Compounds using Paraphrases in a Neural Model.

Vered Shwartz, Chris Waterson

CoRR, 2018

Integrating Multiplicative Features into Supervised Distributional Methods for Lexical Entailment.

Tu Vu, Vered Shwartz

Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, 2018

SemEval-2018 Task 9: Hypernym Discovery.

José Camacho-Collados, Claudio Delli Bovi, Luis Espinosa Anke, Sergio Oramas, Tommaso Pasini, Enrico Santus, Vered Shwartz, Roberto Navigli, Horacio Saggion

Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

Olive Oil is Made.

Vered Shwartz, Chris Waterson

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Breaking NLI Systems with Sentences that Require Simple Lexical Inferences.

Max Glockner, Vered Shwartz, Yoav Goldberg

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Paraphrase to Explicate: Revealing Implicit Noun-Compound Relations.

Vered Shwartz, Ido Dagan

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Acquiring Predicate Paraphrases from News Tweets.

Vered Shwartz, Gabriel Stanovsky, Ido Dagan

Proceedings of the 6th Joint Conference on Lexical and Computational Semantics, 2017

Learning Antonyms with Paraphrases and a Morphology-Aware Neural Network.

Sneha Rajana, Chris Callison-Burch, Marianna Apidianaki, Vered Shwartz

Proceedings of the 6th Joint Conference on Lexical and Computational Semantics, 2017

Neural Disambiguation of Causal Lexical Markers Based on Context.

Eugenio Martínez-Cámara, Vered Shwartz, Iryna Gurevych, Ido Dagan

Proceedings of the IWCS 2017 - 12th International Conference on Computational Semantics - Short papers, Montpellier, France, September 19, 2017

A Consolidated Open Knowledge Representation for Multiple Texts.

Rachel Wities, Vered Shwartz, Gabriel Stanovsky, Meni Adler, Ori Shapira, Shyam Upadhyay, Dan Roth, Eugenio Martínez-Cámara, Iryna Gurevych, Ido Dagan

Proceedings of the 2nd Workshop on Linking Models of Lexical, 2017

Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection.

Vered Shwartz, Enrico Santus, Dominik Schlechtweg

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016

The Roles of Path-based and Distributional Information in Recognizing Lexical Semantic Relations.

Vered Shwartz, Ido Dagan

CoRR, 2016

Adding Context to Semantic Data-Driven Paraphrasing.

Vered Shwartz, Ido Dagan

Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics, 2016

CogALex-V Shared Task: LexNET - Integrated Path-based and Distributional Method for the Identification of Semantic Relations.

Vered Shwartz, Ido Dagan

Proceedings of the 5th Workshop on Cognitive Aspects of the Lexicon, 2016

Path-based vs. Distributional Information in Recognizing Lexical Semantic Relations.

Vered Shwartz, Ido Dagan

Proceedings of the 5th Workshop on Cognitive Aspects of the Lexicon, 2016

Improving Hypernymy Detection with an Integrated Path-based and Distributional Method.

Vered Shwartz, Yoav Goldberg, Ido Dagan

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Multi-Level Alignments As An Extensible Representation Basis for Textual Entailment Algorithms.

Tae-Gil Noh, Sebastian Padó, Vered Shwartz, Ido Dagan, Vivi Nastase, Kathrin Eichler, Lili Kotlerman, Meni Adler

Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics, 2015

Learning to Exploit Structured Resources for Lexical Inference.

Vered Shwartz, Omer Levy, Ido Dagan, Jacob Goldberger

Proceedings of the 19th Conference on Computational Natural Language Learning, 2015