Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data
...
anglais | 08-10-2013 | 368 pages
9783642414909
Livre de poche
56,16
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Couverture / Jaquette
This book constitutes the refereed proceedings of the 12th China National Conference on Computational Linguistics, CCL 2013, and of the First International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2013, held in Suzhou, China, in October 2013. The 32 papers presented were carefully reviewed and selected from 252 submissions. The papers are organized in topical sections on word segmentation; open-domain question answering; discourse, coreference and pragmatics; statistical and machine learning methods in NLP; semantics; text mining, open-domain information extraction and machine reading of the Web; sentiment analysis, opinion mining and text classification; lexical semantics and ontologies; language resources and annotation; machine translation; speech recognition and synthesis; tagging and chunking; and large-scale knowledge acquisition and reasoning.
Fonctionnalité
Fast track conference proceedings
Unique visibility
State of the art research
Table des matières
Word Segmentation.- Open-Domain Q&A.- Discourse, Coreference and Pragmatics.- Statistical and Machine Learning Methods in NLP.- Semantics.- Text Mining, Open-Domain Information Extraction and Machine Reading of the Web.- Sentiment Analysis, Opinion Mining and Text Classification.- Lexical semantics and Ontologies.- Language Resources and Annotation.- Machine Translation.- Speech Recognition and Synthesis.- Tagging and Chunking.- Large-scale Knowledge Acquisition and Reasoning.
Détails
| Code EAN : | 9783642414909 |
| Editeur : | Springer-Springer-Springer-Verlag GmbH |
| Date de publication : | 08-10-2013 |
| Format : | Livre de poche |
| Langue(s) : | anglais |
| Hauteur : | 235 mm |
| Largeur : | 155 mm |
| Epaisseur : | 20 mm |
| Poids : | 557 gr |
| Stock : | Impression à la demande (POD) |
| Nombre de pages : | 368 |
| Mots clés : | Machinetranslation; Naturallanguageunderstanding; TextMining; chinesewordsegmentation; informationretrieval |