CICLing 2018

CICLing 2018
19th International Conference on Computational Linguistics and Intelligent Text Processing
Event in series	CICLing
Dates	2018/03/18 (iCal) - 2018/03/24
Location
Location:	Hanoi, Vietnam
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Keynote speaker:	P. Bhattacharyya, Jing Jiang, Soujanya Poria, Fabrizio Sebastiani
Table of Contents

19th International Conference on Computational Linguistics and Intelligent Text Processing March 18 to 24, 2018 • Hanoi, Vietnam

TOPICS

In general, we are interested in whatever helps, will help eventually, or might help computers meaningfully deal with language data.

The conference is intended to encourage exchange of opinions between the scientists working in different areas of the growing field of computational linguistics and intelligent text and speech processing. Our idea is to get a general view of the state of art in computational linguistics and its applications.

Areas of interest include, but are not limited to, the following topics, provided that the work is presented in computer-related or formal description aspects:

Computational linguistics research:

• Computational linguistic theories and formalisms
• Representation of linguistic knowledge
• Lexical resources
• Morphology, syntax, semantics
• Discourse models
• Ambiguity resolution
• Anaphora resolution
• Word sense disambiguation
• Recognizing textual entailment
• Text generation
• Machine translation

Intelligent text and speech processing and their applications:

• Opinion mining, sentiment analysis, social networks
• Speech processing and text-to-speech
• Text categorization and clustering
• Information retrieval, information extraction
• Text mining
• Summarization

==Keynote==: P. Bhattacharyya, Jing Jiang, Soujanya Poria, Fabrizio Sebastiani.

• Spell checking
• Detection of plagiarism
• Natural language interfaces

We welcome works on processing any language (not necessarily English), though major languages are of more general interest. When discussing phenomena of languages other than English, please keep your discussion understandable for people not familiar with this language.