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COLING 2027: International Conference on Computational Linguistics

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COLING
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截稿日期:
2026-10-12 还有 22 天
通知日期:
2027-02-10
会议日期:
2027-05-09
会议地点:
Macau, China
届数:
CCF: B   ICORE: B   QUALIS: A1   浏览: 227185   关注: 212   参加: 33

会伴指数 (CP-I)

92.7 / 100
全站第 33 名 / 共 5,682 个会议 · 前 1%

自然语言处理与语音 第 2 / 85

学术认可 (35%)
100
投稿选择性 (20%)
78
会议传承 (20%)
94
社区关注 (10%)
83
资料公开度 (15%)
100

用到的输入: 收录等级：CCF B, ICORE B, QUALIS A1 · 录用率：30.5%（有记录的 5 届的均值） · 有据可查的届次：32 · 在会伴关注它的研究者：212 人 · 过去 24 个月打开过本页的研究者：67 人

置信度 100% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-20

征稿

COLING 2027 (International Conference on Computational Linguistics) is a CCF B / ICORE B / QUALIS A1 conference held in Macau, China on 2027-05-09. The paper submission deadline is 2026-10-12. Acceptance notifications are sent on 2027-02-10.

The 32nd International Conference on Computational Linguistics (COLING 2027) will take place in Macau, China, May 9-14 2027. COLING 2027 invites the submission of long and short papers featuring substantial, original, and unpublished research in all aspects of computational linguistics and natural language processing. Relevant topics include, but are not limited to, the following areas: Benchmarking and Evaluation Computational Cognitive Modeling and Psycholinguistics Computational Social Science and Sociolinguistics Cross-lingual and Multilingual NLP (including Machine Translation) Dialogue and Interactive Systems NLP for Digital Humanities and Cultural Analytics Discourse and Pragmatics Ethics, Bias, Fairness, Alignment and Security Human-AI Interaction and Social Impact of AI systems (including User Studies) Information Extraction and Retrieval Interpretability and Analysis of NLP Models Knowledge-based NLP and Reasoning Language Acquisition, Learning and Evolution Language Diversity and NLP for Low-resourced/Less-studied Languages Language Modeling, including Novel Architectures Language Resources Linguistic Theories and Language Modeling for Linguistic Insights Machine Learning, including Resource-efficiency and Explainability Agent-based LLM systems Morphology and Syntax: Segmentation, Tagging, Chunking and Parsing Multimodality and Language Grounding to Vision, Robotics and Beyond Natural Language Generation, Summarization and Simplification NLP and LLM Applications Phonology and Speech: Recognition, Synthesis, Spoken Language Modeling Semantics: Lexical and Sentence-Level Sentiment Analysis, Opinion and Argument Mining, Offensive Language Detection COLING 2027 will also feature a special theme track devoted to uses of NLP/LLMs in service of linguistic research, with a particular focus on linguistic diversity. A more detailed description of the special theme will be distributed in mid-August.
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录用率

平均录用率: 30% 10 年间 (1998–2022).

年份提交数录用数录用率(%)
2022225363428.1%
2020231964427.8%
2018101733132.5%
2016103933732.4%
201468521731.7%
201081533441%
200860014524.2%
200663014723.3%
200032311034.1%
199855013724.9%

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BWorld Wide Web3.4Springer1386-145X
BComputational Linguistics5.3MIT Press0891-2017
BTransactions of the Association for Computational LinguisticsThe Association for Computational Linguistics2307-387X
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BIEEE Transactions on Neural Networks and Learning Systems8.9IEEE1045-9227

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