CICLing 2019: Difference between revisions
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|City=La Rochelle | |City=La Rochelle | ||
|Country=France | |Country=France | ||
|Has host organization=University of La Rochelle (ULR) | |||
|has general chair=Alexander Gelbukh | |||
|has program chair=Antoine Doucet | |||
|has Keynote speaker=Preslav Nakov, Paolo Rosso, Lucia Specia, Carlo Strapparava | |||
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== Topics == | |||
=== 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. | |||
* | |||
* | |||
* | |||
* | |||
* | |||
* | |||
* | |||
* | |||
Revision as of 11:40, 7 April 2020
| CICLing 2019 | |
|---|---|
International Conference on Computational Linguistics and Intelligent Text Processing
| |
| Event in series | CICLING |
| Dates | 2019/04/07 (iCal) - 2019/04/13 |
| Homepage: | https://www.cicling.org/2019/ |
| Location | |
| Location: | La Rochelle, France |
| Committees | |
| General chairs: | Alexander Gelbukh |
| PC chairs: | Antoine Doucet |
| Keynote speaker: | Preslav Nakov, Paolo Rosso, Lucia Specia, Carlo Strapparava |
| Table of Contents | |
Topics
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.