Computational Linguistics and Intelligent Text Processing
18th International Conference, CICLing 2017, Budapest, Hungary, April 17–23, 2017, Revised Selected Papers, Part I
Editors: Gelbukh, Alexander (Ed.)
Free PreviewBuy this book
- About this book
-
The two-volume set LNCS 10761 + 10762 constitutes revised selected papers from the CICLing 2017 conference which took place in Budapest, Hungary, in April 2017.
The total of 90 papers presented in the two volumes was carefully reviewed and selected from numerous submissions. In addition, the proceedings contain 4 invited papers.
The papers are organized in the following topical sections:
Part I: general; morphology and text segmentation; syntax and parsing; word sense disambiguation; reference and coreference resolution; named entity recognition; semantics and text similarity; information extraction; speech recognition; applications to linguistics and the humanities.
Part II: sentiment analysis; opinion mining; author profiling and authorship attribution; social network analysis; machine translation; text summarization; information retrieval and text classification; practical applications.
- Table of contents (45 chapters)
-
-
Overview of Character-Based Models for Natural Language Processing
Pages 3-16
-
Pooling Word Vector Representations Across Models
Pages 17-29
-
Strategies to Select Examples for Active Learning with Conditional Random Fields
Pages 30-43
-
Label-Dependencies Aware Recurrent Neural Networks
Pages 44-66
-
Universal Computational Formalisms and Developer Environment for Rule-Based NLP
Pages 67-78
-
Table of contents (45 chapters)
Recommended for you
Bibliographic Information
- Bibliographic Information
-
- Book Title
- Computational Linguistics and Intelligent Text Processing
- Book Subtitle
- 18th International Conference, CICLing 2017, Budapest, Hungary, April 17–23, 2017, Revised Selected Papers, Part I
- Editors
-
- Alexander Gelbukh
- Series Title
- Theoretical Computer Science and General Issues
- Series Volume
- 10761
- Copyright
- 2018
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-319-77113-7
- DOI
- 10.1007/978-3-319-77113-7
- Softcover ISBN
- 978-3-319-77112-0
- Edition Number
- 1
- Number of Pages
- XIX, 608
- Number of Illustrations
- 119 b/w illustrations
- Topics
