The 12th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2023) will take place in Foshan City during October 12-15, 2023.

Considering the recent pandemic outbreak that has impacted some authors, we have decided to postpone the NLPCC 2023 submission deadline to May 18, 2023.

Paper Submission Deadline (for both English and Chinese tracks): May 15, 2023 May 18, 2023 (extended)

Paper Submission Website (for both English and Chinese tracks): https://www.softconf.com/nlpcc/Main-2023

NLPCC 2023 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 Authors are invited to submit complete and unpublished papers in English or Chinese in the following categories: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 2023 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

◇ 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

◇ Large Language Models

Submission Guidelines

The proceedings of the conference will be published as a volume in the Springer LNAI series (EI & ISTP indexed, for English papers), and the ACTA Scientiarum Naturalium Universitatis Pekinensis (EI and Scopus indexed, for Chinese papers), respectively. English submissions should follow the LNCS formatting instructions. The maximum paper length is 12 pages (including references and appendix). The submissions must therefore be formatted in accordance with the standard Springer style sheets ([LaTeX][Microsoft Word]). Submissions in Chinese should follow the formatting instructions of the ACTA Scientiarum Naturalium Universitatis Pekinensis [Format Template], without exceeding ten (10) pages (including references) in A4 (210 × 297 mm) size. All submissions should be prepared in the PDF format. A few selected papers will be recommended to be published in IEEE Transactions on Big Data or AI Open.

Manuscripts (including both English and Chinese papers) should be submitted electronically through the Softconf START conference management system https://www.softconf.com/nlpcc/Main-2023. After logging in, please click the "make a new submission" button, and select the corresponding link according to your paper's language. Email submissions will not be accepted. Authors of Chinese submissions are required to provide Chinese titles in the submission system.

Double-Blind Reviewing

Anonymity Requirements for Double-Blind Reviewing:

Every research paper submitted to NLPCC 2023 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 p