MLNLP
社区是国内外知名的机器学习与自然语言处理社区,受众覆盖国内外NLP硕博生、高校老师以及企业研究人员。

社区的愿景是促进国内外自然语言处理,机器学习学术界、产业界和广大爱好者之间的交流和进步,特别是初学者同学们的进步。
转载自 | NLPCC会议
The 13th International Conference on Natural Language Processing and Chinese Computing (NLPCC 2024)
Final Call for Paper - Submission Deadline Extended to June 11, 2024
November 1-3, 2024, Hangzhou, Zhejiang Province, China
http://tcci.ccf.org.cn/conference/2024/index.php
The CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC) is the annual meeting of CCF-NLP (Technical Committee of Natural Language Processing, China Computer Federation). NLPCC is a leading international conference specialized in the fields of Natural Language Processing (NLP) and Chinese Computing (CC). NLPCC is in the list of CS conferences recommended by CCF. 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), Dunhuang (2019), Zhengzhou (2020), Qingdao (2021), Guilin (2022), and Foshan (2023).
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 2024 welcomes original technical papers on new concepts, innovative research, systems, standards, resources & evaluation, applications, and industrial case studies related to NLP & CC. Authors are invited to submit complete and unpublished papers in the following categories. Please note that this year, NLPCC will ONLY accept submissions in English.
◇ 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. Preprints are also permitted, but they must adhere to the anonymized submission requirements.
Relevant topics of NLPCC 2024 include, but are not limited to, the following:
◇ Computational Social Science and Social Media
◇ Dialogue and Interactive Systems
◇ Discourse and Pragmatics
◇ Ethics and NLP
◇ Information Extraction and Knowledge Acquisition
◇ Information Retrieval and Text Mining
◇ Interpretability and Analysis of Models for NLP
◇ Large Language Models
◇ Linguistic Theories, Cognitive Modeling and Psycholinguistics
◇ Machine Learning for NLP
◇ Machine Translation and Multilinguality
◇ NLP Applications
◇ Phonology, Morphology and Word Segmentation
◇ Question Answering
◇ Resources and Evaluation
◇ Semantics
◇ Sentiment Analysis
◇ Speech and Multimodality
◇ Syntax: Tagging, Chunking and Parsing
◇ Text Summarization and Generation
Submission Guidelines
The proceedings of the conference will be published as a volume in the Springer LNAI series, which is EI & ISTP indexed. Authors should format their submissions according to the LNCS instructions (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines). The maximum length for papers is 12 pages, including references and appendices. Thus, submissions must adhere to the standard Springer style sheets ([LaTeX] (https://resource-cms.springernature.com/springer-cms/rest/v1/content/19238648/data/v8) [Microsoft Word] (https://resource-cms.springernature.com/springer-cms/rest/v1/content/19238706/data/v3)). All papers should be prepared in PDF format.
Submissions must be made electronically via the OpenReview platform at https://openreview.net/group?id=ccf.org/NLPCC/2024/Conference. Note that submissions sent by email will not be considered.
Double-Blind Reviewing
Anonymity Requirements for Double-Blind Reviewing:
Every research paper submitted to NLPCC 2024 will undergo a "double-blind" reviewing process: the PC members and referees who review the paper will not know the identity of the authors. To ensure anonymity of authorship, authors must prepare their manuscript as follows:
1.  Authors' names and affiliations must not appear on the title page or elsewhere in the paper.
2.  Funding sources must not be acknowledged on the title page or elsewhere in the paper.
3.  Research group members, or other colleagues or collaborators, must not be acknowledged anywhere in the paper.
4.  The paper's file name must not identify the authors of the paper. It is strongly suggested that the submitted file be named with the assigned submission number.
5.  You must also use care when referring to related previous work, particularly your own work, in the paper. For example, if you are Jane Smith, the following text gives away the authorship of the submitted paper:
In our previous work [1,2], we presented two algorithms for ... In this paper, we build on that work by ...
Bibliography
[1] Jane Smith, "A Simple Algorithm for ...," Proceedings of ACL 2007, pp. 1-8.
[2] Jane Smith, "A More Complicated Algorithm for ...," Proceedings of ACL 2008, pp.33-40.
The solution is to reference your past work in the third person (just as you would any other piece of work that is related to the submitted paper). This allows you to set the context for the submitted paper, while at the same time preserving anonymity:
In previous work [1,2], algorithms were presented for ... In this paper, we build on that work by ...
Bibliography
[1] Jane Smith, "A Simple Algorithm for ...," Proceedings of ACL 2007, pp. 1-8.
[2] Jane Smith, "A More Complicated Algorithm for ...," Proceedings of ACL 2008, pp.33-40.
It is the responsibility of authors to do their very best to preserve anonymity. Papers that do not follow the guidelines here, or otherwise potentially reveal the identity of the authors, are subject to rejection without review.
This year, NLPCC accepts preprint papers. In all cases, submitted papers must adhere to the anonymization requirements. If a non-anonymized version of the preprint exists, authors are required to declare its existence at the time of submission and should avoid citing it. Submissions that are not properly anonymized will be rejected.
Important dates
◇ Paper Submission Deadline Extended:  June 2, 2024 June 11, 2024
◇ Paper Notification: August 4, 2024
◇ Camera-ready Deadline: August 15, 2024
◇ Tutorials: November 1, 2024
◇ Main Conference: November 2-3, 2024
All deadlines are 23:59 PM, Beijing Time.
Organization
◇  Organizer:
● China Computer Federation (CCF)
◇  Hosts:
● Westlake University
◇  Publishers:
● Lecture Notes on Artificial Intelligence (LNAI), Springer Verlag
◇  General Chairs:
● Anna Korhonen, University of Cambridge
● Xiaojun Wan, Peking University
◇  PC Chairs:
● Derek F. Wong, University of Macau
● Zhongyu Wei, Fudan University
◇  Workshop Chairs:
● Ruifeng Xu, Harbin Institute of Technology (Shenzhen)
● Xu Chen, Renmin University of China
● Tao Gui, Fudan University
◇  Evaluation Chairs:
● Yunbo Cao, Tencent
● Meishan Zhang, Harbin Institute of Technology (Shenzhen)
◇  Tutorial Chairs:
● Yi Cai, South China University of Technology
● Jing Li, The Hong Kong Polytechnic University
◇  Publication Chairs:
● Muyun Yang, Harbin Institute of Technology
◇  Sponsorship Chairs:
● Zhongqing Wang, Soochow University
● Piji Li, Nanjing University of Aeronautics and Astronautics
◇  Publicity Chairs:
● Min Yang, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences
● Libo Qin, Central South University
●  Xiangyu Zhao, City University of Hong Kong
◇  Organization Chairs:
● Yue Zhang, Westlake University
● Haofen Wang, Tongji University
◇  Area Chairs:
IR / Dialogue Systems / Question Answering
● Zhaochun Ren, Leiden University
 Libo QinCentral South University
Fundamentals of NLP
● Longyue Wang, Tencent AI Lab 
 Hao Fei, National University of Singapore
Information Extraction and Knowledge Graph
   ● Yangqiu Song, The Hong Kong University of Science and Technology
    ● Yubo Chen, Institute of Automation, Chinese Academy of Sciences  
    ● Qin Chen, East China Normal University
    ● Yixin Cao, Singapore Management University
Large Language Models and Agents
● Yuxuan Lai, The Open University of China
Junxian He, The Hong Kong University of Science and Technology
Machine Learning for NLP
● Chenliang Li, Wuhan University
Linfeng Song, Tencent AI Lab
Machine Translation and Multilinguality
● Yang Feng, Institute of Computing Technology, Chinese Academy of Sciences
Chenhui Chu, Kyoto University
Multimodality and Explainability
● Tong Xu, University of Science and Technology of China
Jiatao Gu, Apple
NLP Applications / Text Mining
    ● Jing Li, Hong Kong Polytechnic University
    ● Xiaocheng Feng, Harbin Institute of Technology
    ● Chenghua Lin, University of Manchester
    ● Xuebo Liu, Harbin Institute of Technology, Shenzhen
Summarization and Generation
● Piji Li, Nanjing University of Aeronautics and Astronautics
Yi Ren Fung, University of Illinois Urbana-Champaign
Sentiment analysis / Argumentation Mining / Social Media
● Fei Li, Wuhan University
Lin Gui, King's College London
Contact
If you have any questions about paper submission, please contact the Program Co-Chairs [email protected] and [email protected]. For more information about the conference, please email [email protected].

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MLNLP 社区是由国内外机器学习与自然语言处理学者联合构建的民间学术社区,目前已经发展为国内外知名的机器学习与自然语言处理社区,旨在促进机器学习,自然语言处理学术界、产业界和广大爱好者之间的进步。
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