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Evaluating Content Selection in Summarization: The Pyramid Method

, и . Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics: HLT-NAACL 2004, стр. 145--152. Boston, Massachusetts, USA, Association for Computational Linguistics, (2004)

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User Modelling as an Application of Actors., и . ICCS, том 1640 из Lecture Notes in Computer Science, стр. 83-89. Springer, (1999)Predicting Summary Quality using Limited Human Input., и . TAC, NIST, (2009)Discourse Factors in Multi-Document Summarization.. AAAI, стр. 1654-1655. AAAI Press / The MIT Press, (2005)Syntactic Patterns Improve Information Extraction for Medical Search., , , , и . NAACL-HLT (2), стр. 371-377. Association for Computational Linguistics, (2018)To Memorize or to Predict: Prominence labeling in Conversational Speech., , , , , , и . HLT-NAACL, стр. 9-16. The Association for Computational Linguistics, (2007)Automatically Evaluating Content Selection in Summarization without Human Models., и . EMNLP, стр. 306-314. ACL, (2009)Influence Functions for Sequence Tagging Models., , , и . EMNLP (Findings), стр. 824-839. Association for Computational Linguistics, (2022)Evaluating Multiple System Summary Lengths: A Case Study., , , , , , и . EMNLP, стр. 774-778. Association for Computational Linguistics, (2018)Aggregating and Predicting Sequence Labels from Crowd Annotations., , , , и . ACL (1), стр. 299-309. Association for Computational Linguistics, (2017)Automatic sense prediction for implicit discourse relations in text., , и . ACL/IJCNLP, стр. 683-691. The Association for Computer Linguistics, (2009)