Conference Information
CICLing 2019: International Conference on Computational Linguistics and Intelligent Text Processing
https://www.cicling.org/2019/
Submission Date:
2019-01-10
Notification Date:
2019-02-20
Conference Date:
2019-04-07
Location:
La Rochelle, France
Years:
20
CORE: b   QUALIS: b1   Viewed: 24028   Tracked: 6   Attend: 0

Call For Papers
Areas of interest

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
    etc.

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
    Spell checking
    Detection of plagiarism
    Natural language interfaces
    etc.

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.
Last updated by Dou Sun in 2018-12-28
Acceptance Ratio
YearSubmittedAcceptedAccepted(%)
20123078828.7%
20102716122.5%
20091674426.3%
20082045225.5%
20071795329.6%
20061765933.5%
20051515335.1%
20041294031%
2003924346.7%
2002673552.2%
2001724156.9%
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CCFFull NameImpact FactorPublisherISSN
IEEE Computational Intelligence Magazine11.2IEEE1556-603X
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cComputational Intelligence1.7John Wiley & Sons, Ltd.1467-8640
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Computational Statistics1.000Springer0943-4062