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 Authors are invited to submit complete and unpublished papers in the following categories.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. 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