Download e-book for kindle: Chinese Computational Linguistics and Natural Language by Kaixu Zhang, Jinsong Su, Changle Zhou (auth.), Maosong Sun,

By Kaixu Zhang, Jinsong Su, Changle Zhou (auth.), Maosong Sun, Min Zhang, Dekang Lin, Haifeng Wang (eds.)

ISBN-10: 3642414907

ISBN-13: 9783642414909

ISBN-10: 3642414915

ISBN-13: 9783642414916

This ebook constitutes the refereed complaints of the twelfth China nationwide convention on Computational Linguistics, CCL 2013, and of the 1st overseas Symposium on traditional Language Processing in keeping with evidently Annotated massive information, NLP-NABD 2013, held in Suzhou, China, in October 2013. The 32 papers awarded have been conscientiously reviewed and chosen from 252 submissions. The papers are prepared in topical sections on note segmentation; open-domain query answering; discourse, coreference and pragmatics; statistical and laptop studying tools in NLP; semantics; textual content mining, open-domain info extraction and desktop analyzing of the net; sentiment research, opinion mining and textual content type; lexical semantics and ontologies; language assets and annotation; computer translation; speech acceptance and synthesis; tagging and chunking; and large-scale wisdom acquisition and reasoning.

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Additional resources for Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data: 12th China National Conference, CCL 2013 and First International Symposium, NLP-NABD 2013, Suzhou, China, October 10-12, 2013. Proceedings

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The training corpus which contains one month data of the People’s Daily in 1998 was provided by Peking University. There are four domains in the testing data: Literature (L), Computer (C), Medicine (M) and Finance (F). One main reason we use these corpora is that it addresses the ability of word segmentation for out-of-domain text. We implement our system based on FudanNLP [13], a toolkit for Chinese natural language processing. We first evaluate the performance with our character abstraction method.

The training corpus which contains one month data of the People’s Daily in 1998 was provided by Peking University. There are four domains in the testing data: Literature (L), Computer (C), Medicine (M) and Finance (F). One main reason we use these corpora is that it addresses the ability of word segmentation for out-of-domain text. We implement our system based on FudanNLP [13], a toolkit for Chinese natural language processing. We first evaluate the performance with our character abstraction method.

A New Unsupervised Approach to Word Segmentation. ACL 37(3), 421–454 (2011) 16. : Rethinking Chinese Word Segmentation: Tokenization, Character Classification, or Wordbreak Identification. In: Proceedings of the ACL 2007 Demo and Poster Sessions, pp. 69–72 (2007) 17. : Chinese Word Segmentation Based on Word Boundary Decision. R. R. R. cn Abstract. Previous research showed that Kalman filter based humancomputer interaction Chinese word segmentation algorithm achieves an encouraging effect in reducing user interventions.

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Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data: 12th China National Conference, CCL 2013 and First International Symposium, NLP-NABD 2013, Suzhou, China, October 10-12, 2013. Proceedings by Kaixu Zhang, Jinsong Su, Changle Zhou (auth.), Maosong Sun, Min Zhang, Dekang Lin, Haifeng Wang (eds.)


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