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2020 – today
- 2024
[c49]Eunjeong Hwang, Vered Shwartz, Dan Gutfreund, Veronika Thost:
A Graph per Persona: Reasoning about Subjective Natural Language Descriptions. ACL (Findings) 2024: 1928-1942- [c48]Sahithya Ravi, Patrick Huber, Akshat Shrivastava, Vered Shwartz, Arash Einolghozati:
Small But Funny: A Feedback-Driven Approach to Humor Distillation. ACL (1) 2024: 13078-13090 - [c47]Maksym Taranukhin, Vered Shwartz, Evangelos Milios:
Stance Reasoner: Zero-Shot Stance Detection on Social Media with Explicit Reasoning. LREC/COLING 2024: 15257-15272 - [c46]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: 2257-2273 - [c45]Farhan Samir, Chan Young Park, Anjalie Field, Vered Shwartz, Yulia Tsvetkov:
Locating Information Gaps and Narrative Inconsistencies Across Languages: A Case Study of LGBT People Portrayals on Wikipedia. EMNLP 2024: 6747-6762 - [c44]Mehar Bhatia, Sahithya Ravi, Aditya Chinchure, Eunjeong Hwang, Vered Shwartz:
From Local Concepts to Universals: Evaluating the Multicultural Understanding of Vision-Language Models. EMNLP 2024: 6763-6782 - [i40]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 abs/2402.18113 (2024) - [i39]Maksym Taranukhin, Sahithya Ravi, Gábor Lukács, Evangelos Milios, Vered Shwartz:
Empowering Air Travelers: A Chatbot for Canadian Air Passenger Rights. CoRR abs/2403.12678 (2024) - [i38]Maksym Taranukhin, Vered Shwartz, Evangelos Milios:
Stance Reasoner: Zero-Shot Stance Detection on Social Media with Explicit Reasoning. CoRR abs/2403.14895 (2024) - [i37]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 abs/2404.06664 (2024) - [i36]Mehar Bhatia, Sahithya Ravi, Aditya Chinchure, Eunjeong Hwang, Vered Shwartz:
From Local Concepts to Universals: Evaluating the Multicultural Understanding of Vision-Language Models. CoRR abs/2407.00263 (2024) - [i35]Yu Ying Chiu, Liwei Jiang, Bill Yuchen Lin, Chan Young Park, Shuyue Stella Li, Sahithya Ravi, Mehar Bhatia, Maria Antoniak, Yulia Tsvetkov, Vered Shwartz, Yejin Choi:
CulturalBench: a Robust, Diverse and Challenging Benchmark on Measuring the (Lack of) Cultural Knowledge of LLMs. CoRR abs/2410.02677 (2024) - [i34]Farhan Samir, Chan Young Park, Anjalie Field, Vered Shwartz, Yulia Tsvetkov:
Locating Information Gaps and Narrative Inconsistencies Across Languages: A Case Study of LGBT People Portrayals on Wikipedia. CoRR abs/2410.04282 (2024) - [i33]Farhan Samir, Emily P. Ahn, Shreya Prakash, Márton Soskuthy, Vered Shwartz, Jian Zhu:
Efficiently Identifying Low-Quality Language Subsets in Multilingual Datasets: A Case Study on a Large-Scale Multilingual Audio Dataset. CoRR abs/2410.04292 (2024) - 2023
- [c43]Albert Coil, Vered Shwartz:
From chocolate bunny to chocolate crocodile: Do Language Models Understand Noun Compounds? ACL (Findings) 2023: 2698-2710 - [c42]Sahithya Ravi, Chris Tanner, Raymond Ng, Vered Shwartz:
What happens before and after: Multi-Event Commonsense in Event Coreference Resolution. EACL 2023: 1700-1716 - [c41]Eunjeong Hwang, Veronika Thost, Vered Shwartz, Tengfei Ma:
Knowledge Graph Compression Enhances Diverse Commonsense Generation. EMNLP 2023: 558-572 - [c40]Eunjeong Hwang, Vered Shwartz:
MemeCap: A Dataset for Captioning and Interpreting Memes. EMNLP 2023: 1433-1445 - [c39]Wenkai Chen, Sahithya Ravi, Vered Shwartz:
CASE: Commonsense-Augmented Score with an Expanded Answer Space. EMNLP (Findings) 2023: 2732-2744 - [c38]Mehar Bhatia, Vered Shwartz:
GD-COMET: A Geo-Diverse Commonsense Inference Model. EMNLP 2023: 7993-8001 - [c37]Sahithya Ravi, Raymond Ng, Vered Shwartz:
COMET-M: Reasoning about Multiple Events in Complex Sentences. EMNLP (Findings) 2023: 12921-12937 - [c36]Sahithya Ravi, Aditya Chinchure, Leonid Sigal, Renjie Liao, Vered Shwartz:
VLC-BERT: Visual Question Answering with Contextualized Commonsense Knowledge. WACV 2023: 1155-1165 - [i32]Sahithya Ravi, Chris Tanner, Raymond Ng, Vered Shwartz:
What happens before and after: Multi-Event Commonsense in Event Coreference Resolution. CoRR abs/2302.09715 (2023) - [i31]Jordan Coil, Vered Shwartz:
From chocolate bunny to chocolate crocodile: Do Language Models Understand Noun Compounds? CoRR abs/2305.10568 (2023) - [i30]Eunjeong Hwang, Vered Shwartz:
MemeCap: A Dataset for Captioning and Interpreting Memes. CoRR abs/2305.13703 (2023) - [i29]Sahithya Ravi, Raymond Ng, Vered Shwartz:
COMET-M: Reasoning about Multiple Events in Complex Sentences. CoRR abs/2305.14617 (2023) - [i28]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 abs/2305.14763 (2023) - [i27]Mehar Bhatia, Vered Shwartz:
GD-COMET: A Geo-Diverse Commonsense Inference Model. CoRR abs/2310.15383 (2023) - [i26]Shuhaib Mehri, Vered Shwartz:
Automatic Evaluation of Generative Models with Instruction Tuning. CoRR abs/2310.20072 (2023) - [i25]Wenkai Chen, Sahithya Ravi, Vered Shwartz:
CASE: Commonsense-Augmented Score with an Expanded Answer Space. CoRR abs/2311.01684 (2023) - 2022
- [j4]Tuhin Chakrabarty, Yejin Choi, Vered Shwartz:
It's not Rocket Science: Interpreting Figurative Language in Narratives. Trans. Assoc. Comput. Linguistics 10: 589-606 (2022) - [c35]Vered Shwartz:
Good Night at 4 pm?! Time Expressions in Different Cultures. ACL (Findings) 2022: 2842-2853 - [i24]Sahithya Ravi, Aditya Chinchure, Leonid Sigal, Renjie Liao, Vered Shwartz:
VLC-BERT: Visual Question Answering with Contextualized Commonsense Knowledge. CoRR abs/2210.13626 (2022) - 2021
- [j3]Vered Shwartz
:
Dissertation Abstract: Learning High Precision Lexical Inferences. Künstliche Intell. 35(3): 377-383 (2021) - [c34]Faeze Brahman, Vered Shwartz, Rachel Rudinger, Yejin Choi:
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision. AAAI 2021: 12592-12601 - [c33]Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi:
Paragraph-level Commonsense Transformers with Recurrent Memory. AAAI 2021: 12857-12865 - [c32]Tenghao Huang, Faeze Brahman, Vered Shwartz, Snigdha Chaturvedi:
Uncovering Implicit Gender Bias in Narratives through Commonsense Inference. EMNLP (Findings) 2021: 3866-3873 - [c31]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: 7038-7051 - [c30]Vered Shwartz:
A Long Hard Look at MWEs in the Age of Language Models. MWE@ACL-IJCNLP 2021 - [c29]Ohad Rozen, Shmuel Amar, Vered Shwartz, Ido Dagan:
Teach the Rules, Provide the Facts: Targeted Relational-knowledge Enhancement for Textual Inference. *SEM 2021: 89-98 - [e4]Anna Rogers, Iacer Calixto, Ivan Vulic, Naomi Saphra, Nora Kassner, Oana-Maria Camburu, Trapit Bansal, Vered Shwartz:
Proceedings of the 6th Workshop on Representation Learning for NLP, RepL4NLP@ACL-IJCNLP 2021, Online, August 6, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-72-5 [contents] - [i23]Ari Holtzman, Peter West, Vered Shwartz, Yejin Choi, Luke Zettlemoyer:
Surface Form Competition: Why the Highest Probability Answer Isn't Always Right. CoRR abs/2104.08315 (2021) - [i22]Tuhin Chakrabarty, Yejin Choi, Vered Shwartz:
It's not Rocket Science : Interpreting Figurative Language in Narratives. CoRR abs/2109.00087 (2021) - [i21]Tenghao Huang, Faeze Brahman, Vered Shwartz, Snigdha Chaturvedi:
Uncovering Implicit Gender Bias in Narratives through Commonsense Inference. CoRR abs/2109.06437 (2021) - 2020
- [j2]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:
The Association for the Advancement of Artificial Intelligence 2020 Workshop Program. AI Mag. 41(4): 100-114 (2020) - [c28]Maarten Sap, Vered Shwartz, Antoine Bosselut, Yejin Choi, Dan Roth:
Commonsense Reasoning for Natural Language Processing. ACL (tutorial) 2020: 27-33 - [c27]Vered Shwartz, Yejin Choi:
Do Neural Language Models Overcome Reporting Bias? COLING 2020: 6863-6870 - [c26]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: 653-670 - [c25]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: 794-805 - [c24]Vered Shwartz, Peter West, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
Unsupervised Commonsense Question Answering with Self-Talk. EMNLP (1) 2020: 4615-4629 - [c23]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: 4661-4675 - [c22]Yehudit Meged, Avi Caciularu, Vered Shwartz, Ido Dagan:
Paraphrasing vs Coreferring: Two Sides of the Same Coin. EMNLP (Findings) 2020: 4897-4907 - [c21]Vered Shwartz, Rachel Rudinger, Oyvind Tafjord:
"You are grounded!": Latent Name Artifacts in Pre-trained Language Models. EMNLP (1) 2020: 6850-6861 - [e3]Nafise Sadat Moosavi, Angela Fan, Vered Shwartz, Goran Glavas, Shafiq R. Joty, Alex Wang, Thomas Wolf:
Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing, SustaiNLP@EMNLP 2020, Online, November 20, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-77-4 [contents] - [i20]Vered Shwartz, Rachel Rudinger, Oyvind Tafjord:
"You are grounded!": Latent Name Artifacts in Pre-trained Language Models. CoRR abs/2004.03012 (2020) - [i19]Vered Shwartz, Peter West, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
Unsupervised Commonsense Question Answering with Self-Talk. CoRR abs/2004.05483 (2020) - [i18]Yehudit Meged, Avi Caciularu, Vered Shwartz, Ido Dagan:
Paraphrasing vs Coreferring: Two Sides of the Same Coin. CoRR abs/2004.14979 (2020) - [i17]Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi:
Paragraph-Level Commonsense Transformers with Recurrent Memory. CoRR abs/2010.01486 (2020) - [i16]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 abs/2010.05906 (2020) - [i15]Maxwell Forbes, Jena D. Hwang, Vered Shwartz, Maarten Sap, Yejin Choi:
Social Chemistry 101: Learning to Reason about Social and Moral Norms. CoRR abs/2011.00620 (2020) - [i14]Faeze Brahman, Vered Shwartz, Rachel Rudinger, Yejin Choi:
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision. CoRR abs/2012.08012 (2020)
2010 – 2019
- 2019
- [j1]Vered Shwartz, Ido Dagan:
Still a Pain in the Neck: Evaluating Text Representations on Lexical Composition. Trans. Assoc. Comput. Linguistics 7: 403-419 (2019) - [c20]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: 4179-4189 - [c19]Ohad Rozen, Vered Shwartz, Roee Aharoni, Ido Dagan:
Diversify Your Datasets: Analyzing Generalization via Controlled Variance in Adversarial Datasets. CoNLL 2019: 196-205 - [c18]Vered Shwartz:
A Systematic Comparison of English Noun Compound Representations. MWE-WN@ACL 2019: 92-103 - [c17]Guy Tevet, Gavriel Habib, Vered Shwartz, Jonathan Berant:
Evaluating Text GANs as Language Models. NAACL-HLT (1) 2019: 2241-2247 - [i13]Vered Shwartz, Ido Dagan:
Still a Pain in the Neck: Evaluating Text Representations on Lexical Composition. CoRR abs/1902.10618 (2019) - [i12]Shany Barhom, Vered Shwartz, Alon Eirew, Michael Bugert, Nils Reimers, Ido Dagan:
Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution. CoRR abs/1906.01753 (2019) - [i11]Vered Shwartz:
A Systematic Comparison of English Noun Compound Representations. CoRR abs/1906.04772 (2019) - [i10]Ohad Rozen, Vered Shwartz, Roee Aharoni, Ido Dagan:
Diversify Your Datasets: Analyzing Generalization via Controlled Variance in Adversarial Datasets. CoRR abs/1910.09302 (2019) - 2018
- [c16]Max Glockner, Vered Shwartz, Yoav Goldberg:
Breaking NLI Systems with Sentences that Require Simple Lexical Inferences. ACL (2) 2018: 650-655 - [c15]Vered Shwartz, Ido Dagan:
Paraphrase to Explicate: Revealing Implicit Noun-Compound Relations. ACL (1) 2018: 1200-1211 - [c14]Vered Shwartz, Chris Waterson:
Olive Oil is Made. NAACL-HLT (2) 2018: 218-224 - [c13]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: 712-724 - [c12]Tu Vu, Vered Shwartz:
Integrating Multiplicative Features into Supervised Distributional Methods for Lexical Entailment. *SEM@NAACL-HLT 2018: 160-166 - [e2]Vered Shwartz, Jeniya Tabassum, Rob Voigt, Wanxiang Che, Marie-Catherine de Marneffe, Malvina Nissim:
Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, Student Research Workshop. Association for Computational Linguistics 2018, ISBN 978-1-948087-36-0 [contents] - [i9]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 abs/1803.08073 (2018) - [i8]Tu Vu, Vered Shwartz:
Integrating Multiplicative Features into Supervised Distributional Methods for Lexical Entailment. CoRR abs/1804.08845 (2018) - [i7]Max Glockner, Vered Shwartz, Yoav Goldberg:
Breaking NLI Systems with Sentences that Require Simple Lexical Inferences. CoRR abs/1805.02266 (2018) - [i6]Vered Shwartz, Ido Dagan:
Paraphrase to Explicate: Revealing Implicit Noun-Compound Relations. CoRR abs/1805.02442 (2018) - [i5]Guy Tevet, Gavriel Habib, Vered Shwartz, Jonathan Berant:
Evaluating Text GANs as Language Models. CoRR abs/1810.12686 (2018) - 2017
- [c11]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: 12-24 - [c10]Vered Shwartz, Enrico Santus, Dominik Schlechtweg:
Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection. EACL (1) 2017: 65-75 - [c9]Eugenio Martínez-Cámara, Vered Shwartz, Iryna Gurevych, Ido Dagan:
Neural Disambiguation of Causal Lexical Markers Based on Context. IWCS(2) 2017 - [c8]Sneha Rajana, Chris Callison-Burch, Marianna Apidianaki, Vered Shwartz:
Learning Antonyms with Paraphrases and a Morphology-Aware Neural Network. *SEM 2017: 12-21 - [c7]Vered Shwartz, Gabriel Stanovsky, Ido Dagan:
Acquiring Predicate Paraphrases from News Tweets. *SEM 2017: 155-160 - 2016
- [c6]Vered Shwartz, Yoav Goldberg, Ido Dagan:
Improving Hypernymy Detection with an Integrated Path-based and Distributional Method. ACL (1) 2016 - [c5]Vered Shwartz, Ido Dagan:
Path-based vs. Distributional Information in Recognizing Lexical Semantic Relations. CogALex@COLING 2016: 24-29 - [c4]Vered Shwartz, Ido Dagan:
CogALex-V Shared Task: LexNET - Integrated Path-based and Distributional Method for the Identification of Semantic Relations. CogALex@COLING 2016: 80-85 - [c3]Vered Shwartz, Ido Dagan:
Adding Context to Semantic Data-Driven Paraphrasing. *SEM@ACL 2016 - [i4]Vered Shwartz, Yoav Goldberg, Ido Dagan:
Improving Hypernymy Detection with an Integrated Path-based and Distributional Method. CoRR abs/1603.06076 (2016) - [i3]Vered Shwartz, Ido Dagan:
The Roles of Path-based and Distributional Information in Recognizing Lexical Semantic Relations. CoRR abs/1608.05014 (2016) - [i2]Vered Shwartz, Ido Dagan:
CogALex-V Shared Task: LexNET - Integrated Path-based and Distributional Method for the Identification of Semantic Relations. CoRR abs/1610.08694 (2016) - [i1]Vered Shwartz, Enrico Santus, Dominik Schlechtweg:
Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection. CoRR abs/1612.04460 (2016) - 2015
- [c2]Vered Shwartz, Omer Levy, Ido Dagan, Jacob Goldberger:
Learning to Exploit Structured Resources for Lexical Inference. CoNLL 2015: 175-184 - [c1]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: 193-198 - 2014
- [e1]Danushka Bollegala, Vered Shwartz:
Proceedings of the 13th Joint Conference on Lexical and Computational Semantics, *SEM 2024, Mexico City, Mexico, June 20-21, 2024. Association for Computational Linguistics 2014 [contents]
Coauthor Index
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