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Who cites «A large annotated corpus for learning natural language inference»

2008 papers of our library cite it (of the 149,439 whose bibliographies we read) · 427 with a page here, the most cited first · page 5 of 5 · 401–427 · ← back to «A large annotated corpus for learning natural language inference»

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  1. E-CONAN (Entailment, CONtradition And Neutral) Benchmarks: Arabic Textual Entailment and Natural Inference DatasetsIEEE AccessKhloud AL Jallad, Nada Ghneim, Ghaida Rebdawi2026
  2. E-CONAN (Entailment, CONtradition And Neutral) Diagnostics Dataset Investigating Linguistic Phenomena in Arabic Natural Language UnderstandingarXiv:2609.33530Khloud AL Jallad, Nada Ghneim, Ghaida Rebdawi2026
  3. HU at SemEval-2026 Task 6: A Hybrid Discriminative Modeling of Political Clarity and EvasionInternational Workshop on Semantic Evaluation (SemEval)Taha Munawar, Basil Khan, Arsal Jangda, et al.2026
  4. Large Language Models Put to the Test on Chinese Noun Compounds: Experiments on Natural Language Inference and Compound SemanticsWorkshop on Multiword Expressions (MWE)Le Qiu, Emmanuele Chersoni, He Zhou, et al.2026
  5. Measuring and Mitigating Shortcut Reliance in Language Models with Probe-Based Representation EntanglementAnnual Meeting of the Association for Computational Linguistics (ACL)Divyajot Singh2026
  6. Modeling Perspectives in NLP: Parameter-Efficient Perspective Conditioning for Span Extraction and Summarizationedition of NLPerspectivesHarikrishnan Gurushankar Saisudha, Sabine Bergler2026
  7. On the Representation Geometry of LoRA Model MergingFindings of the Association for Computational LinguisticsChenyang Lu, Jiaru Li, Jinman Zhao, et al.2026
  8. One Sentence, Two Embeddings: Contrastive Learning of Explicit and Implicit Semantic RepresentationsFindings of the Association for Computational LinguisticsKohei Oda, Po-Min Chuang, Kiyoaki Shirai, et al.2026
  9. One Word Is Not Enough: Simple Prompts Improve Word EmbeddingsJoint Conference on Lexical and Computational Semantics (*SEM)Rajeev Ranjan2026
  10. Parallel Universes, Parallel Languages: A Comprehensive Study on LLM-based Multilingual Counterfactual Example GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Qianli Wang, Van Bach Nguyen, Yihong Liu, et al.2026
  11. PEI at #SMM4H-HeaRD 2026: Enhancing Patient Metadata Detection via Hypothesis-Conditioned Classification and Paraphrase-Based Data AugmentationSocial Media Mining for Health Research and Applications Workshop and Shared TasksFarnaz Zeidi, Roman Christof, Farnoush Zeidi, et al.2026
  12. Reference-Free Schema Generation for Literature Review Tables via Multi-Faceted RewardsAnnual Meeting of the Association for Computational Linguistics (ACL)Sinjoy Saha, Suman Saha, Mahfuza Farooque, et al.2026
  13. Selection Shapes the Boundary: A Preregistered Replication of Monotonicity and Label Agreement in Unselected NLI PopulationsarXiv:2607.19231Haram Choi2026
  14. Sentiment Syndicate at SemEval-2026 Task 6: Reframing Political Question–Answer Interactions via Natural Language Inference for Clarity Level ClassificationInternational Workshop on Semantic Evaluation (SemEval)Rafi Rafsan2026
  15. Soft Head Selection for Injecting ICL-Derived Task EmbeddingsFindings of the Association for Computational LinguisticsJungwon Park, Jimyeong Kim, Changin Choi, et al.2026
  16. SwissGov-RSD: A Human-annotated, Cross-lingual Benchmark for Token-level Recognition of Semantic Differences Between Related DocumentsAnnual Meeting of the Association for Computational Linguistics (ACL)Michelle Wastl, Jannis Vamvas, Rico Sennrich2026
  17. Task-Related In-Context LearningFindings of the Association for Computational LinguisticsWenqiang Wang, Peng Chen, Yan Xiao, et al.2026
  18. The Imperfective Paradox in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Bolei Ma, Yusuke Miyao2026
  19. Trustworthy and Explainable Causal Representation Learning in TransformersFindings of the Association for Computational LinguisticsYang Liu, Yinghao Zhang, Lin Liu, et al.2026
  20. Word Surprisal Correlates with Sentential Contradiction in LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Ning Shi, Bradley Hauer, David Basil, et al.2026
  21. A MISMATCHED Benchmark for Scientific Natural Language InferenceFindings of the Association for Computational LinguisticsFiroz Shaik, Mobashir Sadat, Nikita Gautam, et al.2025
  22. Math Natural Language Inference: this should be easy!Joint Conference on Lexical and Computational Semantics (*SEM)Valeria de Paiva, Qiyue Gao, Hai Hu, et al.2025
  23. When Does Meaning Backfire? Investigating the Role of AMRs in NLIJoint Conference on Lexical and Computational Semantics (*SEM)Junghyun Min, Xiulin Yang, Shira Wein2025
  24. Can generative AI recognise textual entailment? (生成 AI は含意関係認識ができるのか)Annual Meeting of the Association for Natural Language Processing荒沢康平, 狩野芳伸2024
  25. Human Temporal Inferences Go Beyond Aspectual ClassKatarzyna Pruś, Mark Steedman, Adam Lopez2024
  26. Role of Context in Unsupervised Sentence Representation Learning: the Case of Dialog Act ModelingFindings of the Association for Computational LinguisticsRastislav Hronsky, Emmanuel Keuleers2023
  27. Exploring Lexical Irregularities in Hypothesis-Only Models of Natural Language InferencearXiv:2101.07397Qingyuan Hu, Yi Zhang, Kanishka Misra, et al.2021

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