(mobo import Concept___Event_For_Confident-migrated) |
m (Text replacement - "[ \s]User:Curator 83" to " Ch") |
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|Submitting link=https://coling2020.org/pages/call_for_papers | |Submitting link=https://coling2020.org/pages/call_for_papers | ||
|has general chair=Donia Scott | |has general chair=Donia Scott | ||
| − | |has program chair=Nuria Bel, | + | |has program chair=Nuria Bel, Chengqing Zong |
|has workshop chair=Xiaodan Zhu, Preslav Nakov, Jun Zhao | |has workshop chair=Xiaodan Zhu, Preslav Nakov, Jun Zhao | ||
|has Keynote speaker=Harald Baayen, Monica Lam, Tal Linzen, Margaret Mitchell, Amanda Stent | |has Keynote speaker=Harald Baayen, Monica Lam, Tal Linzen, Margaret Mitchell, Amanda Stent | ||
| Line 47: | Line 47: | ||
* Speech recognition, text-to-speech and spoken language understanding | * Speech recognition, text-to-speech and spoken language understanding | ||
* Summarization and Simplification | * Summarization and Simplification | ||
| − | * Tagging, | + | * Tagging, Chunking, Syntax and Parsing |
* Textual Inference and Question Answering | * Textual Inference and Question Answering | ||
* Vision, Robotics, Multimodal and Grounded Language Acquisition | * Vision, Robotics, Multimodal and Grounded Language Acquisition | ||
* | * | ||
Revision as of 12:35, 7 July 2022
Topics
COLING’2020 invites the submission of long and short papers on original and unpublished research covering all aspects of natural language and computation. Relevant topics for the conference include, but are not limited to, the following (in alphabetical order):
- Applications (including BioNLP and eHealth, NLP for legal purposes, NLP for Social Media and Journalism, among others)
- Dialogue and Interactive Systems
- Discourse and Pragmatics
- Document classification, topic modelling, information retrieval and crosslingual retrieval
- Language Generation
- Language Modelling
- Information Extraction and Text Mining, and Knowledge Graph
- Language Resources and Evaluation
- CL/NLP and Linguistic Theories, Cognitive Modeling and Psycholinguistics
- Machine Learning for CL/NLP
- Multilingual processing, Machine Translation and translation aids
- Morphology and Word Segmentation
- Semantics (of words, sentences, ontologies and lexical semantics)
- Sentiment Analysis, Opinion and Argument Mining
- Speech recognition, text-to-speech and spoken language understanding
- Summarization and Simplification
- Tagging, Chunking, Syntax and Parsing
- Textual Inference and Question Answering
- Vision, Robotics, Multimodal and Grounded Language Acquisition
