Conference Information
NLPCC 2020: CCF International Conference on Natural Language Processing and Chinese Computing
Submission Date:
2020-06-07 Extended
Notification Date:
Conference Date:
Zhengzhou, China
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Conference Location
Call For Papers
The CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC) is the annual meeting of the CCF TCCI (Technical Committee of Chinese Information, China Computer Federation). NLPCC is a leading international conference specialized in the fields of Natural Language Processing (NLP) and Chinese Computing (CC). NLPCC is recognized by CCF as a category C conference recently.It serves as a main forum for researchers and practitioners from academia, industry, and government to share their ideas, research results and experiences, and to promote their research and technical innovations in the fields. Previous NLPCC conferences were successfully held in Beijing (2012), Chongqing (2013), Shenzhen (2014), Nanchang (2015), Kunming (2016), Dalian (2017), Hohhot (2018), , and Dunhuang (2019).

Today, NLP and CC technologies are among the most active research and development areas due to the rapid advancement of the Internet as well as the worldwide proliferation of mobile devices and social media. The fields are facing many new challenges arising from intelligent applications and big data, such as business intelligence, social analytics, etc.

NLPCC 2020 welcomes original technical papers on new concepts, innovative research, systems, standards, testing & evaluation, applications, and industrial case studies related to NLP & CC. Authors are invited to submit complete and unpublished papers in English or Chinese in the following categories:

◇ Applications/tools
◇ Empirical/data-driven approaches
◇ Resources and evaluation
◇ Theoretical
◇ Survey papers

Papers currently under review in other conferences or journals are acceptable; however, commitment to the conference must be made upon acceptance.

Relevant topics of NLPCC 2020 include, but are not limited to, the following:

◇ Computational Social Science and Social Media
◇ Dialogue and Interactive Systems
◇ Discourse and Pragmatics
◇ Ethics and Privacy
◇ Information Extraction
◇ Information Retrieval and Text Mining
◇ Interpretability and Analysis of Models for NLP
◇ Linguistic Theories, Cognitive Modeling and Psycholinguistics
◇ Machine Learning for NLP
◇ Machine Translation and Multilinguality
◇ Multimodal Language Processing
◇ NLP Applications
◇ NLP for Minority and Low-resource Languages
◇ Phonology, Morphology and Word Segmentation
◇ Question Answering
◇ Resources and Evaluation
◇ Semantics: Lexical, Sentence level, Textual Inference and Other areas
◇ Semantic Web, Knowledge Base, and Knowledge Graph
◇ Sentiment Analysis, Stylistic Analysis, and Argument Mining
◇ Speech Processing and Spoken Language Understanding
◇ Summarization and Generation
◇ Syntax: Tagging, Chunking and Parsing
Last updated by Dou Sun in 2020-05-23
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