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Learning Compact Neural Word Embeddings by Parameter Space Sharing.

, and . IJCAI, page 2046-2052. IJCAI/AAAI Press, (2016)

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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)Syntax-Based Post-Ordering for Efficient Japanese-to-English Translation., , , , and . ACM Trans. Asian Lang. Inf. Process., 12 (3): 12:1-12:15 (2013)Findings of the 2022 Conference on Machine Translation (WMT22)., , , , , , , , , and 9 other author(s). WMT, page 1-45. Association for Computational Linguistics, (2022)NUT-NTT statistical machine translation system for IWSLT 2005., , , and . IWSLT, page 118-123. ISCA, (2005)Supervised Attention for Sequence-to-Sequence Constituency Parsing., , , , , and . IJCNLP(2), page 7-12. Asian Federation of Natural Language Processing, (2017)A robust semi-supervised classification method for transfer learning., , and . CIKM, page 379-388. ACM, (2010)A Dynamic Programming Algorithm for Tree Trimming-based Text Summarization., , , , and . HLT-NAACL, page 462-471. The Association for Computational Linguistics, (2015)Provable Fast Greedy Compressive Summarization with Any Monotone Submodular Function., , , and . NAACL-HLT, page 1737-1746. Association for Computational Linguistics, (2018)K-best Iterative Viterbi Parsing., and . EACL (2), page 305-310. Association for Computational Linguistics, (2017)Post-ordering in Statistical Machine Translation., , , , and . MTSummit, (2011)