Información de la conferencia
ICON 2021: International Conference on Natural Language Processing
http://icon2021.nits.ac.in/
Día de Entrega:
2021-10-15
Fecha de Notificación:
2021-11-15
Fecha de Conferencia:
2021-12-16
Ubicación:
NIT Silchar, India
Años:
18
Vistas: 4863   Seguidores: 0   Asistentes: 0

Solicitud de Artículos
 The eighteenth International Conference on Natural Language Processing (ICON-2021) will be held at NIT Silchar, India during December 16-19, 2021. The ICON Conference series is a forum for promoting interaction among researchers in the field of Natural Language Processing (NLP) and Computational linguistics (CL) in India and abroad. The main conference is on December 17-18, 2021. This will be preceded by one day of pre-conference tutorials on December 16, 2021 and one day of post conference workshops on December 19, 2021.

Papers in ICON proceedings will be indexed in ACL Anthology. ACL Anthology is a digital archive of research papers in Computational Linguistics for major international conferences under Association for Computational Linguistics (ACL), which is one of the most well-known associations for NLP and CL.

Topics

Papers are invited on substantial, original and unpublished research on all aspects of Natural Language Processing, with a particular focus on South Asian languages and other less resourced languages, issues, and applications relevant to South Asia. However, other languages of the world are not excluded. The areas of interest include, but are not limited to:

Language Resources
Morphology
Syntax
Lexical Semantics
Named Entity Recognition
Sentiment and Emotion Analysis
Question Answering
Machine Translation
Summarization
Information Extraction
Natural Language Generation
Multimodality
Dialogue Systems
Information Retrieval and Text Mining
NLP for Digital Humanities
Ethics in NLP
NLP for Education
NLP Language Documentation and Preservation
Speech Recognition
Machine Learning Applications to NLP
Cognitive Modelling and Psycholinguistics
Speech Synthesis
Interpretability and Explainibility of NLP models
Computational Social Science and Social Media
Última Actualización Por Dou Sun en 2021-09-04
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