Who cites «SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference»
- Language Models Are Poor Learners of Directional Inference — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
- Language Models for Lexical Inference in Context — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
- Robustness Gym: Unifying the NLP Evaluation Landscape — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations
- Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition — our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- BMEAUT at SemEval-2020 Task 2: Lexical Entailment with Semantic Graphs — 2020 · Proceedings of the Fourteenth Workshop on Semantic Evaluation
- Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and models — 2020 · arXiv:2005.14709
- Incorporating Temporal Information in Entailment Graph Mining — 2020 · Proceedings of the Graph-based Methods for Natural Language Processing (TextGraphs)
- Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches — 2019 · arXiv:1904.01172
- rajamanickam-2023-i2r-semeval-2023-task-7
- schmitt-2021-continuous-entailment-patterns-lexical-inference
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