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ILP-based Compressive Speech Summarization with Content Word Coverage Maximization and Its Oracle Performance Analysis.

, , , and . ICASSP, page 7190-7194. IEEE, (2019)

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Supervised Attention for Sequence-to-Sequence Constituency Parsing., , , , , and . IJCNLP(2), page 7-12. Asian Federation of Natural Language Processing, (2017)Single-Document Summarization as a Tree Knapsack Problem., , , , and . EMNLP, page 1515-1520. ACL, (2013)Automatic Pyramid Evaluation Exploiting EDU-based Extractive Reference Summaries., , and . EMNLP, page 4177-4186. Association for Computational Linguistics, (2018)Corpus and Evaluation Measures for Multiple Document Summarization with Multiple Sources., , , , and . COLING, (2004)Provable Fast Greedy Compressive Summarization with Any Monotone Submodular Function., , , and . NAACL-HLT, page 1737-1746. Association for Computational Linguistics, (2018)A Dynamic Programming Algorithm for Tree Trimming-based Text Summarization., , , , and . HLT-NAACL, page 462-471. The Association for Computational Linguistics, (2015)ILP-based Compressive Speech Summarization with Content Word Coverage Maximization and Its Oracle Performance Analysis., , , and . ICASSP, page 7190-7194. IEEE, (2019)Lagrangian Relaxation for Scalable Text Summarization while Maximizing Multiple Objectives., , , , and . Inf. Media Technol., 8 (4): 1017-1025 (2013)Simplifying Translations for Children: Iterative Simplification Considering Age of Acquisition with LLMs., , , , and . ACL (Findings), page 8567-8577. Association for Computational Linguistics, (2024)A Machine Learning Approach for QA and Novelty Tracks: NTT System Description., , , and . TREC, volume 500-251 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2002)