---
title: "Who cites SherLIiC: A Typed Event-Focused Lexical…"
description: "The papers of the Elamur Research library that cite «SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language…"
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---
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# Who cites «SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference»

10 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/schmitt-2019-sherliic-typed-event-focused-lexical/)

1. [I2R at SemEval-2023 Task 7: Explanations-driven Ensemble Approach for Natural Language Inference over Clinical Trial Data](https://aclanthology.org/2023.semeval-1.226/) *— 2023 · Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)*
2. [Language Models Are Poor Learners of Directional Inference](https://aclanthology.org/2022.findings-emnlp.64/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
3. [Continuous Entailment Patterns for Lexical Inference in Context](https://aclanthology.org/2021.emnlp-main.556/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
4. [Language Models for Lexical Inference in Context](https://aclanthology.org/2021.eacl-main.108/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
5. [Robustness Gym: Unifying the NLP Evaluation Landscape](https://aclanthology.org/2021.naacl-demos.6/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations*
6. [Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition](https://md.research.elamur.ai/free/en/papers/jeretic-2020-are-natural-language-inference-models/) *— our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
7. [BMEAUT at SemEval-2020 Task 2: Lexical Entailment with Semantic Graphs](https://aclanthology.org/2020.semeval-1.15/) *— 2020 · Proceedings of the Fourteenth Workshop on Semantic Evaluation*
8. [Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and models](https://arxiv.org/abs/2005.14709) *— 2020 · arXiv:2005.14709*
9. [Incorporating Temporal Information in Entailment Graph Mining](https://aclanthology.org/2020.textgraphs-1.7/) *— 2020 · Proceedings of the Graph-based Methods for Natural Language Processing (TextGraphs)*
10. [Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches](https://arxiv.org/abs/1904.01172) *— 2019 · arXiv:1904.01172*