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The Next Step for Multi-Document Summarization: A Heterogeneous Multi-Genre Corpus Built with a Novel Construction Approach.

, , and . COLING, page 1535-1545. ACL, (2016)

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The Next Step for Multi-Document Summarization: A Heterogeneous Multi-Genre Corpus Built with a Novel Construction Approach., , and . COLING, page 1535-1545. ACL, (2016)On the Context-Free Ambiguity of Emoji: A Data-Driven Study of 1, 289 Emojis., , , , , , , , and . CoRR, (2022)Objective Function Learning to Match Human Judgements for Optimization-Based Summarization., and . NAACL-HLT (2), page 654-660. Association for Computational Linguistics, (2018)Concatenated p-mean Word Embeddings as Universal Cross-Lingual Sentence Representations., , , and . CoRR, (2018)Optimizing an Approximation of ROUGE - a Problem-Reduction Approach to Extractive Multi-Document Summarization., and . ACL (1), The Association for Computer Linguistics, (2016)MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance., , , , , and . EMNLP/IJCNLP (1), page 563-578. Association for Computational Linguistics, (2019)Live Blog Corpus for Summarization., , and . LREC, European Language Resources Association (ELRA), (2018)Studying Summarization Evaluation Metrics in the Appropriate Scoring Range.. ACL (1), page 5093-5100. Association for Computational Linguistics, (2019)A Principled Framework for Evaluating Summarizers: Comparing Models of Summary Quality against Human Judgments., and . ACL (2), page 26-31. Association for Computational Linguistics, (2017)A General Optimization Framework for Multi-Document Summarization Using Genetic Algorithms and Swarm Intelligence., and . COLING, page 247-257. ACL, (2016)