会议信息

IJCNLP 2026: International Joint Conference on Natural Language Processing

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截稿日期:
2026-05-25 已截稿
通知日期:
2026-09-07
会议日期:
2026-11-06
会议地点:
Hengqin, China
届数:
15
ICORE: B   QUALIS: B2   浏览: 63876   关注: 28   参加: 0
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IJCNLP
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会伴指数 (CP-I)

73.4 / 100
全站第 285 名 / 共 5,721 个会议 · 前 5%

自然语言处理与语音 第 9 / 85

学术认可 (35%)
72
投稿选择性 (20%)
76
会议传承 (20%)
78
社区关注 (10%)
54
资料公开度 (15%)
80

用到的输入: 收录等级：ICORE B, QUALIS B2 · 录用率：31.6%（有记录的 5 届的均值） · 有据可查的届次：17 · 在会伴关注它的研究者：28 人 · 过去 24 个月打开过本页的研究者：17 人

公开资料里还缺: 历届信息 (+3.0)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

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 1.2 · 算于 2026-10-18

征稿

IJCNLP 2026 (International Joint Conference on Natural Language Processing) is a ICORE B / QUALIS B2 conference held in Hengqin, China on 2026-11-06. The paper submission deadline is 2026-05-25. Acceptance notifications are sent on 2026-09-07.

Submission Topics AACL-IJCNLP 2026 aims to have a broad technical program. Relevant topics for the conference include, but are not limited to, the following areas: Safety and Alignment in LLMs AI/LLM Agents Human-AI Interaction/Cooperation Retrieval-Augmented Language Models Mathematical, Symbolic, and Logical Reasoning in NLP Computational Social Science, Cultural Analytics, and NLP for Social Good Code Models Interpretability, Model Editing, Transparency, and Explainability LLM Efficiency Generalizability and Transfer Dialogue and Interactive Systems Discourse, Pragmatics, and Reasoning Low-resource Methods for NLP Ethics, Bias, and Fairness Natural Language Generation Information Extraction and Retrieval Linguistic theories, Cognitive Modeling and Psycholinguistics Machine Translation Multilinguality and Language Diversity Multimodality and Language Grounding to Vision, Robotics and Beyond Neurosymbolic approaches to NLP Phonology, Morphology and Word Segmentation Question Answering Resources and Evaluation Semantics: Lexical, Sentence-level Semantics, Textual Inference and Other areas Sentiment Analysis, Stylistic Analysis, and Argument Mining Speech Processing and Spoken Language Understanding Summarization Hierarchical Structure Prediction, Syntax, and Parsing NLP Applications
由 Dou Sun 最后更新于

录用率

平均录用率: 29.9% 9 年间 (2004–2020).

年份提交数录用数录用率(%)
202039210627%
201758017129.5%
201569217325%
201336314439.7%
201147817636.8%
200956912121.3%
20082707527.8%
20052899031.1%
20042116631.3%

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