Who cites «A large annotated corpus for learning natural language inference»
- Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and modelsarXiv:2005.14709Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro2020 · 24 citations
- STANDER: An Expert-Annotated Dataset for News Stance Detection and Evidence RetrievalFindings of the Association for Computational LinguisticsCostanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, et al.2020 · 22 citations
- Whodunnit? Crime Drama as a Case for Natural Language UnderstandingTransactions of the Association for Computational Linguistics (TACL)Lea Frermann, Shay B. Cohen, Mirella Lapata2018 · 22 citations
- NeoBERT: A Next-Generation BERTarXiv:2502.19587Lola Le Breton, Quentin Fournier, Mariam El Mezouar, et al.2025 · 20 citations
- The Russian-focused embedders' exploration: ruMTEB benchmark and Russian embedding model designConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Artem Snegirev, Maria Tikhonova, Maksimova Anna, et al.2025 · 19 citations
- Do Large Language Models Understand Conversational Implicature- A case study with a Chinese sitcomChinese National Conference on Computational LinguisticsShisen Yue, Siyuan Song, Xinyuan Cheng, et al.2024 · 19 citations
- Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task DesignTransactions of the Association for Computational Linguistics (TACL)Valentina Pyatkin, Frances Yung, Merel C. J. Scholman, et al.2023 · 19 citations
- “Seeing the Big through the Small”: Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations?Findings of the Association for Computational LinguisticsBeiduo Chen, Xinpeng Wang, Siyao Peng, et al.2024 · 18 citations
- English Prompts are Better for NLI-based Zero-Shot Emotion Classification than Target-Language PromptsACM Web Conference (WWW)Patrick Bareiß, Roman Klinger, Jeremy Barnes2024 · 16 citations
- Enhancing Semantic Similarity Understanding in Arabic NLP with Nested Embedding LearningStudies in computational intelligenceOmer Nacar, Anis Koubaa2024 · 16 citations
- When data permutations are pathological: the case of neural natural language inferenceConference on Empirical Methods in Natural Language Processing (EMNLP)Natalie Schluter, Daniel Varab2018 · 16 citations
- Understanding Figurative Meaning through Explainable Visual EntailmentConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Arkadiy Saakyan, Shreyas Kulkarni, Tuhin Chakrabarty, et al.2025 · 15 citations
- Autoformalizing Natural Language to First-Order Logic: A Case Study in Logical Fallacy DetectionarXiv:2405.02318Abhinav Lalwani, Tasha Kim, Lovish Chopra, et al.2024 · 15 citations
- DiPlomat: A Dialogue Dataset for Situated Pragmatic ReasoningConference on Neural Information Processing Systems (NeurIPS)Hengli Li, Song-Chun Zhu, Zilong Zheng2023 · 15 citations
- Curing the SICK and Other NLI MaladiesComputational LinguisticsAikaterini-Lida Kalouli, Hai Hu, Alexander F. Webb, et al.2023 · 14 citations
- Prompting for explanations improves Adversarial NLI. Is this true? \Yes\ it is \true\ because ıt weakens superficial cues\Findings of the Association for Computational LinguisticsPride Kavumba, Ana Brassard, Benjamin Heinzerling, et al.2023 · 14 citations
- Natural Language Inference with Mixed EffectsJoint Conference on Lexical and Computational Semantics (*SEM)William Gantt, Benjamin Kane, Aaron Steven White2020 · 14 citations
- Natural Language Processing RELIES on LinguisticsComputational LinguisticsJuri Opitz, Shira Wein, Nathan Schneider2025 · 13 citations
- Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language InferenceConference on Empirical Methods in Natural Language Processing (EMNLP)Sara Rajaee, Yadollah Yaghoobzadeh, Mohammad Taher Pilehvar2022 · 13 citations
- Partial-input baselines show that NLI models can ignore context, but they don't.Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)Neha Srikanth, Rachel Rudinger2022 · 13 citations
- Towards the Necessity for Debiasing Natural Language Inference DatasetsLanguage Resources and Evaluation Conference (LREC)Mithun Paul Panenghat, Sandeep Suntwal, Faiz Rafique, et al.2020 · 13 citations
- Non-entailed subsequences as a challenge for natural language inferencearXiv:1811.12112R. Thomas McCoy, Tal Linzen2018 · 13 citations
- SR-LLM: Rethinking the Structured Representation in Large Language ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Jiahuan Zhang, Tianheng Wang, Hanqing Wu, et al.2025 · 11 citations
- Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold StandardsInternational Conference on Computational SemanticsMarco Valentino, Ian Pratt-Hartmann, André Freitas2021 · 11 citations
- Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human RatingsBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLPHendrik Schuff, Hsiu-Yu Yang, Heike Adel, et al.2021 · 11 citations
- What can we learn from Semantic Tagging?Conference on Empirical Methods in Natural Language Processing (EMNLP)Mostafa Abdou, Artur Kulmizev, Vinit Ravishankar, et al.2018 · 11 citations
- How Often Are Errors in Natural Language Reasoning Due to Paraphrastic Variability?Transactions of the Association for Computational Linguistics (TACL)Neha Srikanth, Marine Carpuat, Rachel Rudinger2024 · 10 citations
- A Generative Approach for Mitigating Structural Biases in Natural Language InferenceJoint Conference on Lexical and Computational Semantics (*SEM)Dimion Asael, Zachary Ziegler, Yonatan Belinkov2022 · 10 citations
- How Fast can BERT Learn Simple Natural Language Inference?Conference of the European Chapter of the Association for Computational Linguistics (EACL)Yi-Chung Lin, Keh-Yih Su2021 · 10 citations
- Marked Attribute Bias in Natural Language InferenceFindings of the Association for Computational LinguisticsHillary Dawkins2021 · 10 citations
- A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLIFindings of the Association for Computational LinguisticsBeiduo Chen, Siyao Peng, Anna Korhonen, et al.2025 · 9 citations
- Centurio: On Drivers of Multilingual Ability of Large Vision-Language ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Gregor Geigle, Florian Schneider, Carolin Holtermann, et al.2025 · 9 citations
- MSciNLI: A Diverse Benchmark for Scientific Natural Language InferenceConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Mobashir Sadat, Cornelia Caragea2024 · 9 citations
- Culturally-Nuanced Story Generation for Reasoning in Low-Resource Languages: The Case of Javanese and SundaneseWorkshop on Multilingual Representation LearningSalsabila Zahirah Pranida, Rifo Ahmad Genadi, Fajri Koto2025 · 8 citations
- More Labels or Cases? Assessing Label Variation in Natural Language InferenceWorkshop on Understanding Implicit and Underspecified LanguageCornelia Gruber, Katharina Hechinger, Matthias Assenmacher, et al.2024 · 8 citations
- SIGA: A Naturalistic NLI Dataset of English Scalar Implicatures with Gradable AdjectivesRashid Nizamani, Sebastian Schuster, Vera Demberg2024 · 8 citations
- Understanding and Predicting Human Label Variation in Natural Language Inference through ExplanationarXiv:2304.12443Nan-Jiang Jiang, Chenhao Tan, Marie-Catherine de Marneffe2023 · 8 citations
- Decomposing Natural Logic Inferences for Neural NLIBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLPJulia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, et al.2022 · 8 citations
- GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss TrainingarXiv:2505.24581Omer Nacar, Anis Koubaa, Serry Sibaee, et al.2025 · 7 citations
- Enhancing Systematic Decompositional Natural Language Inference Using Informal LogicConference on Empirical Methods in Natural Language Processing (EMNLP)Nathaniel Weir, Kate Sanders, Orion Weller, et al.2024 · 7 citations
- Simple but Challenging: Natural Language Inference Models Fail on Simple SentencesFindings of the Association for Computational LinguisticsCheng Luo, Wei Liu, Jieyu Lin, et al.2022 · 7 citations
- Investigating Biases in Textual Entailment DatasetsarXiv:1906.09635Shawn Tan, Yikang Shen, Chin-wei Huang, et al.2019 · 7 citations
- Recognizing Textual Entailment in Twitter Using Word EmbeddingsWorkshop on Evaluating Vector Space Representations for NLPOctavia-Maria Şulea2017 · 7 citations
- Entailed Between the Lines: Incorporating Implication into NLIAnnual Meeting of the Association for Computational Linguistics (ACL)Shreya Havaldar, Hamidreza Alvari, John Palowitch, et al.2025 · 6 citations
- Uncertainty-Aware Natural Language Inference with Stochastic Weight AveragingNordic Conference on Computational Linguistics (NoDaLiDa)Aarne Talman, Hande Celikkanat, Sami Virpioja, et al.2023 · 6 citations
- Evaluating and Mitigating Inherent Linguistic Bias of African American English through InferenceInternational Conference on Computational Linguistics (COLING)Jamell Dacon, Haochen Liu, Jiliang Tang2022 · 6 citations
- Exploring Continual Learning of Compositional Generalization in NLITransactions of the Association for Computational Linguistics (TACL)Xiyan Fu, Anette Frank2024 · 5 citations
- Annotation Difficulties in Natural Language InferenceBrazilian Symposium in Information and Human Language TechnologyAikaterini-Lida Kalouli, Livy Real, Annebeth Buis, et al.2021 · 5 citations
- Supporting Context Monotonicity Abstractions in Neural NLI ModelsWorkshops on Natural Logic Meets Machine Learning (NALOMA)Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, et al.2021 · 5 citations
- AfriMTEB and AfriE5: Benchmarking and Adapting Text Embedding Models for African LanguagesConference of the European Chapter of the Association for Computational Linguistics (EACL)Kosei Uemura, Miaoran Zhang, David Ifeoluwa Adelani2026 · 4 citations
- Evaluating Numeracy of Language Models as a Natural Language Inference TaskFindings of the Association for Computational LinguisticsRahmad Mahendra, Damiano Spina, Lawrence Cavedon, et al.2025 · 4 citations
- Let's CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and PresuppositionarXiv:2506.06133Tara Azin, Daniel Dumitrescu, Diana Inkpen, et al.2025 · 4 citations
- Which Spurious Correlations Impact Reasoning in NLI Models? A Visual Interactive Diagnosis through Data-Constrained CounterfactualsAnnual Meeting of the Association for Computational Linguistics (ACL)Robin Chan, Afra Amini, Mennatallah El-Assady2023 · 4 citations
- FANCY: A Diagnostic Data-Set for NLI ModelsItalian Conference on Computational LinguisticsGuido Rocchietti, Flavia Achena, Giuseppe Marziano, et al.2021 · 4 citations
- A guide to the dataset explosion in QA, NLI, and commonsense reasoningAnna Rogers, Anna Rumshisky2020 · 4 citations
- How does Punctuation Affect Neural Models in Natural Language InferenceProceedings of the Probability and Meaning Conference (PaM 2020)Adam Ek, Jean-Philippe Bernardy, Stergios Chatzikyriakidis2020 · 4 citations
- Predicting the Argumenthood of English Prepositional PhrasesProceedings of the AAAI Conference on Artificial IntelligenceNajoung Kim, Kyle Rawlins, Benjamin Van Durme, et al.2018 · 4 citations
- Agree, Disagree, Explain: Decomposing Human Label Variation in NLI through the Lens of ExplanationsFindings of the Association for Computational LinguisticsPingjun Hong, Beiduo Chen, Siyao Peng, et al.2026 · 3 citations
- FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference BenchmarkingFindings of the Association for Computational LinguisticsJabez Magomere, Elena Kochkina, Samuel Mensah, et al.2025 · 3 citations
- From Disagreement to Understanding: The Case for Ambiguity Detection in NLIedition of NLPerspectivesChathuri Jayaweera, Bonnie J. Dorr2025 · 3 citations
- How Hard is this Test Set? NLI Characterization by Exploiting Training DynamicsConference on Empirical Methods in Natural Language Processing (EMNLP)Adrian Cosma, Stefan Ruseti, Mihai Dascalu, et al.2024 · 3 citations
- On the Utility of Pretraining Language Models on Synthetic DataArabic Natural Language Processing Conference (ArabicNLP)Alcides Alcoba Inciarte, Sang Yun Kwon, El Moatez Billah Nagoudi, et al.2024 · 3 citations
- Mitigating Dataset Artifacts in Natural Language Inference Through Automatic Contextual Data Augmentation and Learning OptimizationLanguage Resources and Evaluation Conference (LREC)Michail Mersinias, Panagiotis Valvis2022 · 3 citations
- Improving the Precision of Natural Textual Entailment Problem DatasetsLanguage Resources and Evaluation Conference (LREC)Jean-Philippe Bernardy, Stergios Chatzikyriakidis2020 · 3 citations
- Probing the Natural Language Inference Task with Automated Reasoning ToolsarXiv:2005.02573Zaid Marji, Animesh Nighojkar, John Licato2020 · 3 citations
- Incomplete In-context LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqiang Wang, Wen Yujia, Yan Xiao, et al.2026 · 2 citations
- Thunder-NUBench: A Benchmark for LLMs' Sentence-Level Negation UnderstandingFindings of the Association for Computational LinguisticsYeonkyoung So, Gyuseong Lee, Sungmok Jung, et al.2026 · 2 citations
- Hypothesis-only Biases in Large Language Model-Elicited Natural Language InferencearXiv:2410.08996Grace Proebsting, Adam Poliak2024 · 2 citations
- Improving Natural Language Inference in Arabic using Transformer Models and Linguistically Informed Pre-TrainingarXiv:2307.14666Mohammad Majd Saad Al Deen, Maren Pielka, Jorn Hees, et al.2023 · 2 citations
- Investigating the Effect of Pre-finetuning BERT Models on NLI Involving PresuppositionsFindings of the Association for Computational LinguisticsJad Kabbara, Jackie Cheung2023 · 2 citations
- Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Yiyuan Li, Rakesh Menon, Sayan Ghosh, et al.2023 · 2 citations
- Synthetic Dataset for Evaluating Complex Compositional Knowledge for Natural Language InferenceProceedings of the 1st Workshop on Natural Language Reasoning and Structured Explanations (NLRSE)Sushma Anand Akoju, Robert Vacareanu, Eduardo Blanco, et al.2023 · 2 citations
- Uncovering More Shallow Heuristics: Probing the Natural Language Inference Capacities of Transformer-Based Pre-Trained Language Models Using Syllogistic PatternsarXiv:2201.07614Reto Gubelmann, Siegfried Handschuh2022 · 2 citations
- Understanding Roles and Entities: Datasets and Models for Natural Language InferencearXiv:1904.09720Arindam Mitra, Ishan Shrivastava, Chitta Baral2019 · 2 citations
- EVADE: LLM-Based Explanation Generation and Validation for Error Detection in NLIFindings of the Association for Computational LinguisticsLongfei Zuo, Barbara Plank, Siyao Peng2026 · 1 citation
- Explainable Semantic Textual Similarity via Dissimilar Span DetectionLanguage Resources and Evaluation Conference (LREC)Diego Miguel Lozano, Daryna Dementieva, Alexander Fraser2026 · 1 citation
- From Articles to Premises: Building PrimeFacts, an Extraction Methodology and Resource for Fact-Checking EvidenceLanguage Resources and Evaluation Conference (LREC)Premtim Sahitaj, Jawan Kolanowski, Ariana Sahitaj, et al.2026 · 1 citation
- Improving the OOD Performance of Closed-Source LLMs on NLI Through Strategic Data SelectionFindings of the Association for Computational LinguisticsJoe Stacey, Lisa Alazraki, Aran Ubhi, et al.2026 · 1 citation
- Link Prediction for Event Logs in the Process IndustryWorkshop on the Role of Resources in the Age of Large Language ModelsAnastasia Zhukova, Thomas Walton, Christian E. Lobmüller, et al.2026 · 1 citation
- SynthLLM: An LLM-based Scalable Synthetic Data Generation Pipeline for Low-Resource LanguagesLanguage Resources and Evaluation Conference (LREC)Solmaz Panahi, Vasudevan Nedumpozhimana, John Kelleher2026 · 1 citation
- TinyAttack: Exploring Stylistic Vulnerabilities in Large Language ModelsFindings of the Association for Computational LinguisticsMamta Mamta, Bogdan Grecu, Oana Cocarascu2026 · 1 citation
- “So, How Much Do LLMs Hallucinate on Low-Resource Languages?” A Quantitative and Qualitative AnalysisWorkshop on Language Models for Low-Resource LanguagesKushal Trivedi, Murtuza Shaikh, Sriyansh Sharma2026 · 1 citation
- Benchmarking Query-Conditioned Natural Language InferenceFindings of the Association for Computational LinguisticsMarc E. Canby, Xinchi Chen, Xing Niu, et al.2025 · 1 citation
- Biases in Large Language Model-Elicited Text: A Case Study in Natural Language InferenceInternational Conference on Computational Linguistics (COLING)Grace Proebsting, Adam Poliak2025 · 1 citation
- From Form to Function: A Constructional NLI BenchmarkInternational Workshop on Construction Grammars and NLPClaire Bonial, Taylor Pellegrin, Melissa Torgbi, et al.2025 · 1 citation
- LCHAIM - Investigating Long Context Reasoning in HebrewEhud Malul, Oriel Perets, Ziv Mor, et al.2025 · 1 citation
- On Reference (In-)Determinacy in Natural Language InferenceFindings of the Association for Computational LinguisticsSihao Chen, Chaitanya Malaviya, Alex Fabrikant, et al.2025 · 1 citation
- Who Did You Blame When Your Project Failed? Designing a Corpus for Presupposition Generation in Cross-Examination DialoguesLanguage Resources and Evaluation Conference (LREC)Maria Francis, Julius Steuer, Dietrich Klakow, et al.2024 · 1 citation
- High aspect in the English <em>be going to</em> construction: Syntactic evidenceGlossa a journal of general linguisticsDaniel Duncan2022 · 1 citation
- Exploiting Open IE for Deriving Multiple Premises Entailment CorpusRecent Advances in Natural Language Processing (RANLP)Martin Víta, Jakub Klímek2019 · 1 citation
- BanglaSummEval: Reference-Free Factual Consistency Evaluation for Bangla SummarizationWorkshop on Language Models for Low-Resource LanguagesAhmed Rafid, Rumman Adib, Fariya Ahmed, et al.2026
- Commonsense Knowledge with Negation: A Resource to Enhance Negation UnderstandingFindings of the Association for Computational LinguisticsZijie Wang, MohammadHossein Rezaei, Farzana Rashid, et al.2026
- Computational models of pragmatic reasoning with flexible generation of meaning and expression alternativesarXiv:2607.18443Polina Tsvilodub, Fausto Carcassi, Michael Franke2026
- Constructing a Japanese Verdict Prediction Dataset for Fact-Checking of LLM-Generated TextsAnnual Meeting of the Association for Computational Linguistics (ACL)Miwa Masano, Hirokazu Kiyomaru, Atsushi Keyaki, et al.2026
This page in Markdown → https://md.research.elamur.ai/free/en/papers/bowman-2015-large-annotated-corpus-learning-natural/cited-by/page/4/