Vered Shwartz

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 86

Top Topics

Semantic Relations

Coreference Resolution

Top Venues

EMNLP (Findings)

Publications

EunJeong Hwang, Vered Shwartz, Dan Gutfreund, Veronika Thost
A Graph per Persona: Reasoning about Subjective Natural Language Descriptions. ACL (Findings) (2024)
Maksym Taranukhin, Sahithya Ravi, Gábor Lukács, Evangelos Milios, Vered Shwartz
Empowering Air Travelers: A Chatbot for Canadian Air Passenger Rights. CoRR (2024)
Yu Ying Chiu, Liwei Jiang, Maria Antoniak, Chan Young Park, Shuyue Stella Li, Mehar Bhatia, Sahithya Ravi, Yulia Tsvetkov, Vered Shwartz, Yejin Choi
CulturalTeaming: AI-Assisted Interactive Red-Teaming for Challenging LLMs' (Lack of) Multicultural Knowledge. CoRR (2024)
Maksym Taranukhin, Vered Shwartz, Evangelos Milios
Stance Reasoner: Zero-Shot Stance Detection on Social Media with Explicit Reasoning. LREC/COLING (2024)
Sahithya Ravi, Patrick Huber, Akshat Shrivastava, Vered Shwartz, Arash Einolghozati
Small But Funny: A Feedback-Driven Approach to Humor Distillation. ACL (1) (2024)
Natalie Shapira, Mosh Levy, Seyed Hossein Alavi, Xuhui Zhou, Yejin Choi, Yoav Goldberg, Maarten Sap, Vered Shwartz
Clever Hans or Neural Theory of Mind? Stress Testing Social Reasoning in Large Language Models. EACL (1) (2024)
Sahithya Ravi, Patrick Huber, Akshat Shrivastava, Adithya Sagar, Ahmed Aly, Vered Shwartz, Arash Einolghozati
Small But Funny: A Feedback-Driven Approach to Humor Distillation. CoRR (2024)
Maksym Taranukhin, Vered Shwartz, Evangelos Milios
Stance Reasoner: Zero-Shot Stance Detection on Social Media with Explicit Reasoning. CoRR (2024)
Mehar Bhatia, Sahithya Ravi, Aditya Chinchure, Eunjeong Hwang, Vered Shwartz
From Local Concepts to Universals: Evaluating the Multicultural Understanding of Vision-Language Models. CoRR (2024)
Sahithya Ravi, Raymond Ng, Vered Shwartz
COMET-M: Reasoning about Multiple Events in Complex Sentences. EMNLP (Findings) (2023)
Shuhaib Mehri, Vered Shwartz
Automatic Evaluation of Generative Models with Instruction Tuning. CoRR (2023)
Mehar Bhatia, Vered Shwartz
GD-COMET: A Geo-Diverse Commonsense Inference Model. EMNLP (2023)
Wenkai Chen, Sahithya Ravi, Vered Shwartz
CASE: Commonsense-Augmented Score with an Expanded Answer Space. EMNLP (Findings) (2023)
Wenkai Chen, Sahithya Ravi, Vered Shwartz
CASE: Commonsense-Augmented Score with an Expanded Answer Space. CoRR (2023)
Sahithya Ravi, Aditya Chinchure, Leonid Sigal, Renjie Liao, Vered Shwartz
VLC-BERT: Visual Question Answering with Contextualized Commonsense Knowledge. WACV (2023)
Sahithya Ravi, Raymond Ng, Vered Shwartz
COMET-M: Reasoning about Multiple Events in Complex Sentences. CoRR (2023)
EunJeong Hwang, Veronika Thost, Vered Shwartz, Tengfei Ma
Knowledge Graph Compression Enhances Diverse Commonsense Generation. EMNLP (2023)
Albert Coil, Vered Shwartz
From chocolate bunny to chocolate crocodile: Do Language Models Understand Noun Compounds? ACL (Findings) (2023)
EunJeong Hwang, Vered Shwartz
MemeCap: A Dataset for Captioning and Interpreting Memes. CoRR (2023)
Jordan Coil, Vered Shwartz
From chocolate bunny to chocolate crocodile: Do Language Models Understand Noun Compounds? CoRR (2023)
Sahithya Ravi, Chris Tanner, Raymond Ng, Vered Shwartz
What happens before and after: Multi-Event Commonsense in Event Coreference Resolution. CoRR (2023)
Sahithya Ravi, Chris Tanner, Raymond Ng, Vered Shwartz
What happens before and after: Multi-Event Commonsense in Event Coreference Resolution. EACL (2023)
Natalie Shapira, Mosh Levy, Seyed Hossein Alavi, Xuhui Zhou, Yejin Choi, Yoav Goldberg, Maarten Sap, Vered Shwartz
Clever Hans or Neural Theory of Mind? Stress Testing Social Reasoning in Large Language Models. CoRR (2023)
Mehar Bhatia, Vered Shwartz
GD-COMET: A Geo-Diverse Commonsense Inference Model. CoRR (2023)
EunJeong Hwang, Vered Shwartz
MemeCap: A Dataset for Captioning and Interpreting Memes. EMNLP (2023)
Tuhin Chakrabarty, Yejin Choi, Vered Shwartz
It's not Rocket Science: Interpreting Figurative Language in Narratives. Trans. Assoc. Comput. Linguistics 10 (2022)
Vered Shwartz
Good Night at 4 pm?! Time Expressions in Different Cultures. ACL (Findings) (2022)
Sahithya Ravi, Aditya Chinchure, Leonid Sigal, Renjie Liao, Vered Shwartz
VLC-BERT: Visual Question Answering with Contextualized Commonsense Knowledge. CoRR (2022)
Faeze Brahman, Vered Shwartz, Rachel Rudinger, Yejin Choi
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision. AAAI (2021)
Vered Shwartz
A Long Hard Look at MWEs in the Age of Language Models. MWE@ACL-IJCNLP (2021)
Tenghao Huang, Faeze Brahman, Vered Shwartz, Snigdha Chaturvedi
Uncovering Implicit Gender Bias in Narratives through Commonsense Inference. EMNLP (Findings) (2021)
Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi
Paragraph-level Commonsense Transformers with Recurrent Memory. AAAI (2021)
Tenghao Huang, Faeze Brahman, Vered Shwartz, Snigdha Chaturvedi
Uncovering Implicit Gender Bias in Narratives through Commonsense Inference. CoRR (2021)
Tuhin Chakrabarty, Yejin Choi, Vered Shwartz
It's not Rocket Science : Interpreting Figurative Language in Narratives. CoRR (2021)
Ari Holtzman, Peter West, Vered Shwartz, Yejin Choi, Luke Zettlemoyer
Surface Form Competition: Why the Highest Probability Answer Isn't Always Right. EMNLP (1) (2021)
Vered Shwartz
Dissertation Abstract: Learning High Precision Lexical Inferences. Künstliche Intell. 35 (3) (2021)
Ari Holtzman, Peter West, Vered Shwartz, Yejin Choi, Luke Zettlemoyer
Surface Form Competition: Why the Highest Probability Answer Isn't Always Right. CoRR (2021)
Ohad Rozen, Shmuel Amar, Vered Shwartz, Ido Dagan
Teach the Rules, Provide the Facts: Targeted Relational-knowledge Enhancement for Textual Inference. *SEM (2021)
Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi
Paragraph-Level Commonsense Transformers with Recurrent Memory. CoRR (2020)
Maarten Sap, Vered Shwartz, Antoine Bosselut, Yejin Choi, Dan Roth
Commonsense Reasoning for Natural Language Processing. ACL (tutorial) (2020)
Vered Shwartz, Peter West, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
Unsupervised Commonsense Question Answering with Self-Talk. EMNLP (1) (2020)
Maxwell Forbes, Jena D. Hwang, Vered Shwartz, Maarten Sap, Yejin Choi
Social Chemistry 101: Learning to Reason about Social and Moral Norms. EMNLP (1) (2020)
Lianhui Qin, Vered Shwartz, Peter West, Chandra Bhagavatula, Jena D. Hwang, Ronan Le Bras, Antoine Bosselut, Yejin Choi
Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning. CoRR (2020)
Vered Shwartz, Peter West, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
Unsupervised Commonsense Question Answering with Self-Talk. CoRR (2020)
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 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
The Association for the Advancement of Artificial Intelligence 2020 Workshop Program. AI Mag. 41 (4) (2020)
Maxwell Forbes, Jena D. Hwang, Vered Shwartz, Maarten Sap, Yejin Choi
Social Chemistry 101: Learning to Reason about Social and Moral Norms. CoRR (2020)
Yehudit Meged, Avi Caciularu, Vered Shwartz, Ido Dagan
Paraphrasing vs Coreferring: Two Sides of the Same Coin. EMNLP (Findings) (2020)
Yehudit Meged, Avi Caciularu, Vered Shwartz, Ido Dagan
Paraphrasing vs Coreferring: Two Sides of the Same Coin. CoRR (2020)
Vered Shwartz, Rachel Rudinger, Oyvind Tafjord
"You are grounded!": Latent Name Artifacts in Pre-trained Language Models. EMNLP (1) (2020)
Vered Shwartz, Yejin Choi
Do Neural Language Models Overcome Reporting Bias? COLING (2020)
Rachel Rudinger, Vered Shwartz, Jena D. Hwang, Chandra Bhagavatula, Maxwell Forbes, Ronan Le Bras, Noah A. Smith, Yejin Choi
Thinking Like a Skeptic: Defeasible Inference in Natural Language. EMNLP (Findings) (2020)
Lianhui Qin, Vered Shwartz, Peter West, Chandra Bhagavatula, Jena D. Hwang, Ronan Le Bras, Antoine Bosselut, Yejin Choi
Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning. EMNLP (1) (2020)
Vered Shwartz, Rachel Rudinger, Oyvind Tafjord
"You are grounded!": Latent Name Artifacts in Pre-trained Language Models. CoRR (2020)
Faeze Brahman, Vered Shwartz, Rachel Rudinger, Yejin Choi
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision. CoRR (2020)
Vered Shwartz
A Systematic Comparison of English Noun Compound Representations. CoRR (2019)
Vered Shwartz
A Systematic Comparison of English Noun Compound Representations. MWE-WN@ACL (2019)
Shany Barhom, Vered Shwartz, Alon Eirew, Michael Bugert, Nils Reimers, Ido Dagan
Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution. CoRR (2019)
Vered Shwartz, Ido Dagan
Still a Pain in the Neck: Evaluating Text Representations on Lexical Composition. Trans. Assoc. Comput. Linguistics 7 (2019)
Shany Barhom, Vered Shwartz, Alon Eirew, Michael Bugert, Nils Reimers, Ido Dagan
Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution. ACL (1) (2019)
Vered Shwartz, Ido Dagan
Still a Pain in the Neck: Evaluating Text Representations on Lexical Composition. CoRR (2019)
Ohad Rozen, Vered Shwartz, Roee Aharoni, Ido Dagan
Diversify Your Datasets: Analyzing Generalization via Controlled Variance in Adversarial Datasets. CoNLL (2019)
Ohad Rozen, Vered Shwartz, Roee Aharoni, Ido Dagan
Diversify Your Datasets: Analyzing Generalization via Controlled Variance in Adversarial Datasets. CoRR (2019)
Guy Tevet, Gavriel Habib, Vered Shwartz, Jonathan Berant
Evaluating Text GANs as Language Models. NAACL-HLT (1) (2019)
Tu Vu, Vered Shwartz
Integrating Multiplicative Features into Supervised Distributional Methods for Lexical Entailment. *SEM@NAACL-HLT (2018)
Vered Shwartz, Ido Dagan
Paraphrase to Explicate: Revealing Implicit Noun-Compound Relations. CoRR (2018)
Guy Tevet, Gavriel Habib, Vered Shwartz, Jonathan Berant
Evaluating Text GANs as Language Models. CoRR (2018)
Vered Shwartz, Ido Dagan
Paraphrase to Explicate: Revealing Implicit Noun-Compound Relations. ACL (1) (2018)
Tu Vu, Vered Shwartz
Integrating Multiplicative Features into Supervised Distributional Methods for Lexical Entailment. CoRR (2018)
José Camacho-Collados, Claudio Delli Bovi, Luis Espinosa Anke, Sergio Oramas, Tommaso Pasini, Enrico Santus, Vered Shwartz, Roberto Navigli, Horacio Saggion
SemEval-2018 Task 9: Hypernym Discovery. SemEval@NAACL-HLT (2018)
Vered Shwartz, Chris Waterson
Olive Oil is Made of Olives, Baby Oil is Made for Babies: Interpreting Noun Compounds using Paraphrases in a Neural Model. CoRR (2018)
Max Glockner, Vered Shwartz, Yoav Goldberg
Breaking NLI Systems with Sentences that Require Simple Lexical Inferences. CoRR (2018)
Max Glockner, Vered Shwartz, Yoav Goldberg
Breaking NLI Systems with Sentences that Require Simple Lexical Inferences. ACL (2) (2018)
Vered Shwartz, Chris Waterson
Olive Oil is Made. NAACL-HLT (2) (2018)
Sneha Rajana, Chris Callison-Burch, Marianna Apidianaki, Vered Shwartz
Learning Antonyms with Paraphrases and a Morphology-Aware Neural Network. *SEM (2017)
Vered Shwartz, Gabriel Stanovsky, Ido Dagan
Acquiring Predicate Paraphrases from News Tweets. *SEM (2017)
Eugenio Martínez-Cámara, Vered Shwartz, Iryna Gurevych, Ido Dagan
Neural Disambiguation of Causal Lexical Markers Based on Context. IWCS(2) (2017)
Vered Shwartz, Enrico Santus, Dominik Schlechtweg
Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection. EACL (1) (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)
Vered Shwartz, Ido Dagan
Path-based vs. Distributional Information in Recognizing Lexical Semantic Relations. CogALex@COLING (2016)
Vered Shwartz, Ido Dagan
The Roles of Path-based and Distributional Information in Recognizing Lexical Semantic Relations. CoRR (2016)
Vered Shwartz, Yoav Goldberg, Ido Dagan
Improving Hypernymy Detection with an Integrated Path-based and Distributional Method. ACL (1) (2016)
Vered Shwartz, Ido Dagan
Adding Context to Semantic Data-Driven Paraphrasing. *SEM@ACL (2016)
Vered Shwartz, Ido Dagan
CogALex-V Shared Task: LexNET - Integrated Path-based and Distributional Method for the Identification of Semantic Relations. CoRR (2016)
Vered Shwartz, Yoav Goldberg, Ido Dagan
Improving Hypernymy Detection with an Integrated Path-based and Distributional Method. CoRR (2016)
Vered Shwartz, Ido Dagan
CogALex-V Shared Task: LexNET - Integrated Path-based and Distributional Method for the Identification of Semantic Relations. CogALex@COLING (2016)
Vered Shwartz, Enrico Santus, Dominik Schlechtweg
Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection. CoRR (2016)
Tae-Gil Noh, Sebastian Padó, Vered Shwartz, Ido Dagan, Vivi Nastase, Kathrin Eichler, Lili Kotlerman, Meni Adler
Multi-Level Alignments As An Extensible Representation Basis for Textual Entailment Algorithms. *SEM@NAACL-HLT (2015)
Vered Shwartz, Omer Levy, Ido Dagan, Jacob Goldberger
Learning to Exploit Structured Resources for Lexical Inference. CoNLL (2015)