Natural language processing is one of the most challenging research areas. Most of the applications and online systems require more and more natural communication and utilization of multilingual platforms. The trend is indeed to go towards more intelligent systems and environments which make day-to-day activities and interactions as natural and convenient to a human user in his/her own language.
The aim of the Natural Language Processing track is to bring together researchers from the academia and the industry to share their latest developments in the area, be this to the theory, design, implementation or applications.
Topics of interest include, but are not limited to, the following:
Morphological analysis, Segmentation Tagging
Grammars, Syntax and Parsing, Chunking
Natural Language Generation
Semantics, Semantic analysis
Word sense disambiguation
Co-reference resolution,
Ontologies and terminology
Information Extraction, Named entity recognition
Information Retrieval
Question answering
Text classification, Sentiment Analysis and Opinion Mining
Text Mining
NLP for Web and Social Media
Language and Vision
Text Summarization
Machine Translation and Multilingualism
Applications of NLP technology
Deployment of NLP-based applications
11月29日
2016
12月02日
2016
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