Vered Shwartz

Orcid: 0000-0002-1151-4379

According to our database1, Vered Shwartz authored at least 63 papers between 2015 and 2024.

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Bibliography

2024
MCPDial: A Minecraft Persona-driven Dialogue Dataset.
CoRR, 2024

Efficiently Identifying Low-Quality Language Subsets in Multilingual Datasets: A Case Study on a Large-Scale Multilingual Audio Dataset.
CoRR, 2024

CulturalBench: a Robust, Diverse and Challenging Benchmark on Measuring the (Lack of) Cultural Knowledge of LLMs.
CoRR, 2024

CulturalTeaming: AI-Assisted Interactive Red-Teaming for Challenging LLMs' (Lack of) Multicultural Knowledge.
CoRR, 2024

Empowering Air Travelers: A Chatbot for Canadian Air Passenger Rights.
CoRR, 2024

Small But Funny: A Feedback-Driven Approach to Humor Distillation.
CoRR, 2024

Locating Information Gaps and Narrative Inconsistencies Across Languages: A Case Study of LGBT People Portrayals on Wikipedia.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

From Local Concepts to Universals: Evaluating the Multicultural Understanding of Vision-Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Clever Hans or Neural Theory of Mind? Stress Testing Social Reasoning in Large Language Models.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Stance Reasoner: Zero-Shot Stance Detection on Social Media with Explicit Reasoning.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Small But Funny: A Feedback-Driven Approach to Humor Distillation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

A Graph per Persona: Reasoning about Subjective Natural Language Descriptions.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Automatic Evaluation of Generative Models with Instruction Tuning.
CoRR, 2023

From chocolate bunny to chocolate crocodile: Do Language Models Understand Noun Compounds?
CoRR, 2023

VLC-BERT: Visual Question Answering with Contextualized Commonsense Knowledge.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

COMET-M: Reasoning about Multiple Events in Complex Sentences.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Knowledge Graph Compression Enhances Diverse Commonsense Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

MemeCap: A Dataset for Captioning and Interpreting Memes.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CASE: Commonsense-Augmented Score with an Expanded Answer Space.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

GD-COMET: A Geo-Diverse Commonsense Inference Model.
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.
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?
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
It's not Rocket Science: Interpreting Figurative Language in Narratives.
Trans. Assoc. Comput. Linguistics, 2022

Good Night at 4 pm?! Time Expressions in Different Cultures.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Dissertation Abstract: Learning High Precision Lexical Inferences.
Künstliche Intell., 2021

Teach the Rules, Provide the Facts: Targeted Relational-knowledge Enhancement for Textual Inference.
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.
Proceedings of the 17th Workshop on Multiword Expressions, 2021

Uncovering Implicit Gender Bias in Narratives through Commonsense Inference.
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.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Paragraph-level Commonsense Transformers with Recurrent Memory.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

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

Unsupervised Commonsense Question Answering with Self-Talk.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

"You are grounded!": Latent Name Artifacts in Pre-trained Language Models.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Thinking Like a Skeptic: Defeasible Inference in Natural Language.
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.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Paraphrasing vs Coreferring: Two Sides of the Same Coin.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Social Chemistry 101: Learning to Reason about Social and Moral Norms.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Do Neural Language Models Overcome Reporting Bias?
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Commonsense Reasoning for Natural Language Processing.
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.
Trans. Assoc. Comput. Linguistics, 2019

Evaluating Text GANs as Language Models.
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.
Proceedings of the Joint Workshop on Multiword Expressions and WordNet, 2019

Diversify Your Datasets: Analyzing Generalization via Controlled Variance in Adversarial Datasets.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution.
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.
CoRR, 2018

Integrating Multiplicative Features into Supervised Distributional Methods for Lexical Entailment.
Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, 2018

SemEval-2018 Task 9: Hypernym Discovery.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

Olive Oil is Made.
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.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Paraphrase to Explicate: Revealing Implicit Noun-Compound Relations.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Acquiring Predicate Paraphrases from News Tweets.
Proceedings of the 6th Joint Conference on Lexical and Computational Semantics, 2017

Learning Antonyms with Paraphrases and a Morphology-Aware Neural Network.
Proceedings of the 6th Joint Conference on Lexical and Computational Semantics, 2017

Neural Disambiguation of Causal Lexical Markers Based on Context.
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.
Proceedings of the 2nd Workshop on Linking Models of Lexical, 2017

Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection.
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.
CoRR, 2016

Adding Context to Semantic Data-Driven Paraphrasing.
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.
Proceedings of the 5th Workshop on Cognitive Aspects of the Lexicon, 2016

Path-based vs. Distributional Information in Recognizing Lexical Semantic Relations.
Proceedings of the 5th Workshop on Cognitive Aspects of the Lexicon, 2016

Improving Hypernymy Detection with an Integrated Path-based and Distributional Method.
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.
Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics, 2015

Learning to Exploit Structured Resources for Lexical Inference.
Proceedings of the 19th Conference on Computational Natural Language Learning, 2015


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