Conference Information
CLNLP 2022: International Conference on Computational Linguistics and Natural Language Processing
https://www.clnlp.org/
Submission Date:
2022-11-25 Extended
Notification Date:
2022-11-30
Conference Date:
2022-12-16
Location:
Beijing, China
Years:
3
Viewed: 11740   Tracked: 10   Attend: 0

Call For Papers
2022年计算语言学和自然语言处理国际会议(CLNLP 2022)

重要信息
会议网址:www.clnlp.org
会议时间:2022年12月16-18日
召开地点:中国北京
截稿时间:2022年11月16日
录用通知:投稿后2周内
收录检索:EI,Scopus

会议简介
★2022年计算语言学和自然语言处理国际会议(CLNLP 2022)---Ei Compendex&Scopus-Call for papers
|2022年12月16-18日,中国北京|网址: www.clnlp.org

★CLNLP 2022将围绕“计算语言学和自然语言处理”的最新研究领域而展开,来自世界各地的主要研究人员和行业专家将通过论文和口头报告介绍最新研究成果。会议的这三天里,您将有机会聆听到前沿的学术报告,见证该领域的成果与进步。

会议日程预览:
会议时间	内容
2022年12月16日	注册+接待
2022年12月17日	开幕式+KN演讲+分会场报告
2022年12月18日	分会场报告+实验室参观






关于出版和索引
所有接受的论文将在线出版,将被Ei Compendex,SCOPUS,Google Scholar,Cambridge Scientific Abstracts(CSA),Inspec, ISTP等检索,优秀论文将在国际期刊上发表。

特邀主讲人
Osvaldo N. Oliveira Jr教授——圣保罗大学,巴西
Nazri Kama教授——马来西亚理工大学,马来西亚
Lin Zhang教授——北京航空航天大学,中国
Xiaofang Zhou教授——香港科技大学,香港


征稿主题/会议征稿
分块
认知与心理语言学
计算语法
偏好、欠规范和上下文依赖的计算模型
计算形态学
语言计算神经科学
计算音韵学
计算语用学
计算语义学
自然语言的计算语义学
计算语法语义接口
语言处理中的数据科学
图解法
对话和互动系统
话语与语用学

更多征稿主题请访问: http://www.clnlp.org/cfp.html

参会方式
1.作者参会:一篇会议录用文章允许一名作者参会;
2.主讲嘉宾:申请主题演讲,由会务组审核;
3.口头演讲:申请口头报告,时间为15分钟;
4.海报参会:申请海报参会,根据官网模板准备海报,再录制5分钟视频;
5.视频参会:录制个人视频15分钟即可;
6.听众参会:不投稿仅参会,可参与问答,也可演讲及展示。

投稿方式
1.会议邮箱:clnlp@hksra.org
2.CMT在线投稿:https://cmt3.research.microsoft.com/CLNLP2022

请作者按照官网模板格式进行排版。排版好的论文全文(word+pdf版)发送至CMT在线系统或者会议邮箱。
提交摘要:即只参会做报告,不出版文章;
提交全文:即做参会做报告,并且出版文章;
听众:则不需要提交稿件,注册成功的听众可以参加会议的所有分会;

投稿要求:
1. 大会官方语言为英语,必须为全英文稿件,且应具有学术或实用价值,未在国内外学术期刊或会议发表过;
2. 保证文章原创性,未在国内外公开刊物或其它学术会议上发表过。
3. 文章篇幅一般在5-12页之间,不少于5页,含公式图表等,超过6页将收取超页费;
4. 作者可通过Turnitin或其他查询系统自费查重,重复率不得超过30%,由文章重复率引起的被拒稿将由作者自行承担责任;
5.文章录用:若您的文章被录用,我们将以邮件形式通知您,您将收到以下文件:录用通知、审稿意见表、中文注册表。

联系我们
会议秘书:王女士
会议官网:www.clnlp.org
会议邮箱:clnlp@hksra.org
电话/微信同号:18108159229
QQ咨询:2011307354

We invite submissions on a wide range of research topics, spanning both theoretical and systems research. The topics of interest include, but are not limited to:

Chunking
Cognitive and Psychological linguistics
Computational grammar
Computational models of partiality, underspecification, and context-dependency
Computational morphology
Computational neuroscience of language
Computational phonology
Computational pragmatics
Computational semantics
Computational semantics of natural languages
Computational syntax-semantics interface
Data science in language processing
Diagrammatic methods
Dialogue and Interactive Systems
Discourse and Pragmatics
Discourse processing
Document Analysis
Generation
Graphical methods
Information about space and time in language models and processing
Information extraction and database linking
Information Extraction and Text Mining
Information retrieval
Integration of formal methods
Interdisciplinary methods
Interfaces between morphology, lexicon, speech, text and pragmatics
Language learning
Language processing based on biological fundamentals of information and languages
Large-scale grammars of natural languages
Linguistic Theories, Cognitive Modeling and Psycholinguistics
Logic for information extraction or expression in written and spoken language
Machine learning of language
Machine Translation
Model theoretic methods
Models of computation and algorithms for linguistics
Models of computation and algorithms for natural language processing
Models of situations, contexts, and agents, for applications to language processing
Multi-lingual systems
Multidisciplinary
Multilingual processing
Multilinguality
Named entity recognition
Natural language generation
NLP tools/resources
Opinion mining and sentiment analysis
Phonology, Morphology and Word Segmentation
POS tagging
Question Answering
Resources and Evaluation
Semantic processing
Sentence-level semantics
Sentiment Analysis and Argument Mining
Social Media
Statistical methods
Summarization
Tagging, Chunking, Syntax and Parsing
Textual Entailment
Textual Inference and Other Areas of Semantics
Type theories for applications to language and information processing
Vision, Robotics, Multimodal, Grounding and Speech
Word segmentation
Word-level Semantics
Last updated by Zoe Wong in 2022-03-18
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