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NLPCS 2018 : 13th International Workshop on Natural Language Processing and Cognitive Science


Conference Series : Natural Language Processing and Cognitive Science
When Sep 11, 2018 - Sep 12, 2018
Where Krakow Poland
Submission Deadline Apr 30, 2018
Notification Due May 22, 2018
Final Version Due Jun 30, 2018
Categories    natural language processing   cognitive linguistics   computatinal models of nlp   text mining

Call For Papers

The international workshops of Natural Language and Cognitive Science (NLPCS) are dedicated to exploring the special relationship between natural language processing and cognitive science and the contribution of computer science to these two fields. Cognitive science is the study of mind and intelligence. As Poibeau and Vasishth (2016) explain, researchers from the cognitive science field are overwhelmed by the technical complexity of natural language processing and natural language processing researchers have not recognised the contribution of cognitive science to their work. NLPCS which was launched in 2004, have provided a strong platform supporting research projects which acknowledge the importance of interdisciplinary approaches, and bringing together computer scientists, cognitive and linguistic researchers to improve our understanding of the human language system.
There is an increasing interest in research related to the human brain and human language, and their findings and advances will contribute to advance our study of natural language processing. Consequently, NLPCS 2018 welcomes contributions from cognitive neuroscience which relate to the human language and workings of the human brain.
Hence, topics of interest include, but are not limited to:

 Cognitive and Psychological Models of NLP
 Cognitive Neuroscience of Language
 Computational Models in Cognitive Neuroscience
 Computational Models of NLP
 Corpus Linguistics
 Discourse Processing
 Emotion and Language Processing
 Evolutionary NLP
 Multi-Lingual Processing
 Multimodality in Speech / Text Processing
 Natural Language Interfaces and Dialogue Systems
 Neural bases of Language
 Pragmatics and NLP
 Speech Processing
 Social Cognition of Language
 Text Mining
 Text Summarisation and Information Extraction
 Tools and Resources in NLP

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