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Evaluating Multiple System Summary Lengths: A Case Study.

, , , , , , and . EMNLP, page 774-778. Association for Computational Linguistics, (2018)

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Long Context Question Answering via Supervised Contrastive Learning., , , and . NAACL-HLT, page 2872-2879. Association for Computational Linguistics, (2022)Modeling Word Meaning in Context with Substitute Vectors., , and . HLT-NAACL, page 472-482. The Association for Computational Linguistics, (2015)Investigating Unsupervised Learning for Text Categorization Bootstrapping., , and . HLT/EMNLP, page 129-136. The Association for Computational Linguistics, (2005)Entailment graphs for text exploration., and . JSSP, page 5. Association for Computational Linguistics, (2013)QANom: Question-Answer driven SRL for Nominalizations., , , , , , , and . COLING, page 3069-3083. International Committee on Computational Linguistics, (2020)Learning Entailment Rules for Unary Templates., and . COLING, page 849-856. (2008)Realistic Evaluation Principles for Cross-document Coreference Resolution., , , , and . *SEM, page 143-151. Association for Computational Linguistics, (2021)Interactive Abstractive Summarization for Event News Tweets., , , , , and . EMNLP (System Demonstrations), page 109-114. Association for Computational Linguistics, (2017)Asking It All: Generating Contextualized Questions for any Semantic Role., , , , , and . EMNLP (1), page 1429-1441. Association for Computational Linguistics, (2021)ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System., , , , and . EMNLP/IJCNLP (3), page 1-6. Association for Computational Linguistics, (2019)