Conference Information

AACL 2026: Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics

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Submission Date:
2026-05-25
Notification Date:
2026-09-07
Conference Date:
2026-11-06
Location:
Hengqin, China
Years:
5
Viewed: 18468   Tracked: 5   Attend: 0

Conference Partner Index (CP-I)

45.9 / 100
Ranked #2,611 of 5,682 conferences · Top 46%

#44 of 85 in Natural Language Processing & Speech

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
48
Community attention (10%)
35
Public record completeness (15%)
35

Inputs used: Editions on record: 5 · Researchers following it here: 5 · Researchers who opened this page in the past 24 months: 9

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-14

Call For Papers

AACL 2026 (Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics) is an academic 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
Last updated by Dou Sun on

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