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Mining Knowledge for Natural Language Inference from Wikipedia Categories.

, , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 3500-3511. Association for Computational Linguistics, (2020)

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Unsupervised Label Refinement Improves Dataless Text Classification., , and . CoRR, (2020)Scrap your boilerplate with object algebras., , , and . OOPSLA, page 127-146. ACM, (2015)EntEval: A Holistic Evaluation Benchmark for Entity Representations., , , , and . EMNLP/IJCNLP (1), page 421-433. Association for Computational Linguistics, (2019)SummScreen: A Dataset for Abstractive Screenplay Summarization., , , and . ACL (1), page 8602-8615. Association for Computational Linguistics, (2022)Broad Context Language Modeling as Reading Comprehension., , , and . EACL (2), page 52-57. Association for Computational Linguistics, (2017)NATCAT: Weakly Supervised Text Classification with Naturally Annotated Resources., , and . AKBC, (2021)Mining Knowledge for Natural Language Inference from Wikipedia Categories., , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 3500-3511. Association for Computational Linguistics, (2020)PoMo: Generating Entity-Specific Post-Modifiers in Context., , , , , , , and . NAACL-HLT (1), page 826-838. Association for Computational Linguistics, (2019)Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations., , and . EMNLP/IJCNLP (1), page 649-662. Association for Computational Linguistics, (2019)Unsupervised Label Refinement Improves Dataless Text Classification., , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 4165-4178. Association for Computational Linguistics, (2021)