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Vered Shwartz
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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
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
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
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
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
"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
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
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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