Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data
16th China National Conference, CCL 2017, and 5th International Symposium, NLP-NABD 2017, Nanjing, China, October 13-15, 2017, Proceedings
Editors: Sun, M., Wang, X., Chang, B., Xiong, D. (Eds.)
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- About this book
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This book constitutes the proceedings of the 16th China National Conference on Computational Linguistics, CCL 2017, and the 5th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2017, held in Nanjing, China, in October 2017.
The 39 full papers presented in this volume were carefully reviewed and selected from 272 submissions. They were organized in topical sections named: Fundamental theory and methods of computational linguistics; Machine translation and multilingual information processing; Knowledge graph and information extraction; Language resource and evaluation; Information retrieval and question answering; Text classification and summarization; Social computing and sentiment analysis; NLP applications; Minority language information processing.
- Table of contents (39 chapters)
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Arabic Collocation Extraction Based on Hybrid Methods
Pages 3-12
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Employing Auto-annotated Data for Person Name Recognition in Judgment Documents
Pages 13-23
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Closed-Set Chinese Word Segmentation Based on Convolutional Neural Network Model
Pages 24-36
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Improving Word Embeddings for Low Frequency Words by Pseudo Contexts
Pages 37-47
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A Pipelined Pre-training Algorithm for DBNs
Pages 48-59
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Table of contents (39 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data
- Book Subtitle
- 16th China National Conference, CCL 2017, and 5th International Symposium, NLP-NABD 2017, Nanjing, China, October 13-15, 2017, Proceedings
- Editors
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- Maosong Sun
- Xiaojie Wang
- Baobao Chang
- Deyi Xiong
- Series Title
- Lecture Notes in Artificial Intelligence
- Series Volume
- 10565
- Copyright
- 2017
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing AG
- eBook ISBN
- 978-3-319-69005-6
- DOI
- 10.1007/978-3-319-69005-6
- Softcover ISBN
- 978-3-319-69004-9
- Edition Number
- 1
- Number of Pages
- XVIII, 482
- Number of Illustrations
- 133 b/w illustrations
- Topics
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