CICLing 2019: Difference between revisions
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== Topics == | == Topics == | ||
=== Computational linguistics research: === | === Computational linguistics research: === | ||
* Computational linguistic theories and formalisms | * Computational linguistic theories and formalisms | ||
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* Discourse models | * Discourse models | ||
* Ambiguity resolution | * Ambiguity resolution | ||
* Anaphora resolution | * Anaphora resolution | ||
* Word sense disambiguation | * Word sense disambiguation | ||
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=== Intelligent text and speech processing and their applications: === | === 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 11:43, 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.