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Titlebook: Computational Linguistics and Intelligent Text Processing; 16th International C Alexander Gelbukh Conference proceedings 2015 Springer Inte

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書目名稱Computational Linguistics and Intelligent Text Processing
副標題16th International C
編輯Alexander Gelbukh
視頻videohttp://file.papertrans.cn/233/232608/232608.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computational Linguistics and Intelligent Text Processing; 16th International C Alexander Gelbukh Conference proceedings 2015 Springer Inte
描述.The two volumes LNCS 9041 and 9042 constitute the proceedings of the 16th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2015, held in Cairo, Egypt, in April 2015. .The total of 95 full papers presented was carefully reviewed and selected from 329 submissions. They were organized in topical sections on grammar formalisms and lexical resources; morphology and chunking; syntax and parsing; anaphora resolution and word sense disambiguation; semantics and dialogue; machine translation and multilingualism; sentiment analysis and emotion detection; opinion mining and social network analysis; natural language generation and text summarization; information retrieval, question answering, and information extraction; text classification; speech processing; and applications. .
出版日期Conference proceedings 2015
關鍵詞Artificial intelligence; Computational linguistics; Document categorization; HCI; Human language technol
版次1
doihttps://doi.org/10.1007/978-3-319-18111-0
isbn_softcover978-3-319-18110-3
isbn_ebook978-3-319-18111-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2015
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978-3-319-18110-3Springer International Publishing Switzerland 2015
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Catherine Burnheim,Andrew Harveye are treated in syntactically annotated corpora and to attempt at a categorization of deletions within a multilevel annotation scheme. We explain first (Sect. 1) the motivations of our research into this matter and in Sect. 2 we briefly overview how deletions are treated in some of the advanced ann
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Framing the Framework: The Origins of , such as taggers or parsers, can be trained. In recent years, there have been increasing efforts to apply NLP methods to a much broader swathe of the worlds languages. In many cases this involves bootstrapping the learning process with enriched or partially enriched resources. One promising line of
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