会议信息

ACL 2027: Annual Meeting of the Association for Computational Linguistics

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截稿日期:
2027-01-04 还有 70 天
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会议日期:
2027-08-17
会议地点:
Japan
届数:
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CCF: A   ICORE: A*   QUALIS: A1   浏览: 2014198   关注: 349   参加: 37
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会伴指数 (CP-I)

96.4 / 100
全站第 11 名 / 共 5,759 个会议 · 前 1%

自然语言处理与语音 第 1 / 85

学术认可 (35%)
100
投稿选择性 (20%)
89
会议传承 (20%)
100
社区关注 (10%)
86
资料公开度 (15%)
100

用到的输入: 收录等级：CCF A, QUALIS A1 · 录用率：21.2%（有记录的 5 届的均值） · 有据可查的届次：65 · 在会伴关注它的研究者：349 人 · 过去 24 个月打开过本页的研究者：65 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 1.2 · 算于 2026-10-26

征稿

ACL 2027 (Annual Meeting of the Association for Computational Linguistics) is a CCF A / ICORE A* / QUALIS A1 conference held in Japan on 2027-08-17. The paper submission deadline is 2027-01-04.

ACL 2027 aims to have a broad technical program of papers that make a contribution to computational processing of natural language. Relevant topics for the conference include, but are not limited to, the following areas (see also the ARR submission scope): Special Theme: Homogenization and knowledge collapse in LLMs Clinical and Biomedical Applications Computational Social Science and Cultural Analytics Dialogue and Interactive Systems Discourse and Pragmatics Efficient Methods for NLP Ethics, Bias, and Fairness Human-Centered NLP and Human-AI Interaction Information Extraction Information Retrieval and Text Mining Interpretability and Analysis of Models for NLP Language Diversity and NLP for Low-resourced Languages Language Modeling LLM Agents for NLP Linguistic Theories, Cognitive Modeling, and Psycholinguistics Machine Learning for NLP Machine Translation Multilingualism and Cross-Lingual NLP Multimodality and Language Grounding to Vision, Robotics and Beyond NLP and Code Models NLP and Symbolic Reasoning NLP Applications Phonology, Morphology, and Word Segmentation Question Answering Semantics: Lexical and Sentence-Level Sentiment Analysis, Stylistic Analysis, and Argument Mining Speech Recognition, Text-to-Speech and Spoken Language Understanding Summarization Syntax: Tagging, Chunking and Parsing
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录用率

平均录用率: 24.1% 29 年间 (1997–2025).

年份提交数录用数录用率(%)
20258360169920.3%
2024200840520.2%
2023387291023.5%
2022337870120.8%
2021335071021.2%
2020224857125.4%
2019174044725.7%
2018104525624.5%
201775119526%
201682523128%
201569217325%
201457111219.6%
201366217426.3%
201257214725.7%
201163416425.9%
201063816025.1%
200956912121.3%
200847011925.3%
200758813122.3%
200663014723.3%
20054237718.2%
20043488825.3%
20033607119.7%
20022566625.8%
20012606926.5%
20002677026.2%
19993208025%
199855013724.9%
19972648331.4%

最佳论文

年份最佳论文
2026The Imperfective Paradox in Large Language Models
2026Memory Efficiency and Resource-Rational Encoding in Sentence Processing
2026Characterizing the Expressivity of Local Attention in Transformers
2025A Theory of Response Sampling in LLMs: Part Descriptive and Part Prescriptive
2025Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs
2025Language Models Resist Alignment: Evidence From Data Compression
2025Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention
2024Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model
2024Semisupervised Neural Proto-Language Reconstruction
2024Why are Sensitive Functions Hard for Transformers?
2024Natural Language Satisfiability: Exploring the Problem Distribution and Evaluating Transformer-based Language Models
2024Deciphering Oracle Bone Language with Diffusion Models
2024Causal Estimation of Memorisation Profiles
2024Mission: Impossible Language Models
2023Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest
2023What the DAAM: Interpreting Stable Diffusion Using Cross Attention
2023From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models
2022Learned Incremental Representations for Parsing
2022Requirements and Motivations of Low-Resource Speech Synthesis for Language Revitalization
2022DiBiMT: A Novel Benchmark for Measuring Word Sense Disambiguation Biases in Machine Translation
2022KinyaBERT: a Morphology-aware Kinyarwanda Language Model
2021Vocabulary Learning via Optimal Transport for Neural Machine Translation
2020Beyond Accuracy: Behavioral Testing of NLP models with Checklist
2019We need to talk about standard splits
2019Do you know that Florence is packed with visitors? Evaluating state-of-the-art models of speaker commitment
2019Zero-shot Word Sense Disambiguation using Sense Definition Embeddings
2019Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems
2019A Simple Theoretical Model of Importance for Summarization
2019OpenKiwi: An Open Source Framework for Quality Estimation
2019Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts
2019Bridging the Gap between Training and Inference for Neural Machine Translation
2018Finding syntax in human encephalography with beam search
2018Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information
2018Let’s do it “again”: A First Computational Approach to Detecting Adverbial Presupposition Triggers
2018Know What You Don’t Know: Unanswerable Questions for SQuAD
2018‘Lighter’ Can Still Be Dark: Modeling Comparative Color Descriptions
2017Probabilistic Typology: Deep Generative Models of Vowel Inventories
2016Finding Non-Arbitrary Form-Meaning Systematicity Using String-Metric Learning for Kernel Regression
2015Learning Dynamic Feature Selection for Fast Sequential Prediction
2015Improving Evaluation of Machine Translation Quality Estimation
2014Fast and Robust Neural Network Joint Models for Statistical Machine Translation
2013Grounded Language Learning from Video Described with Sentences
2012Bayesian Symbol-Refined Tree Substitution Grammars for Syntactic Parsing
2012String Re-writing Kernel
2011Unsupervised Part-of-Speech Tagging with Bilingual Graph-Based Projections
2010Beyond NomBank: A Study of Implicit Arguments for Nominal Predicates
2009Reinforcement Learning for Mapping Instructions to Actions
2009K-Best A* Parsing
2009Concise Integer Linear Programming Formulations for Dependency Parsing
2008Forest Reranking: Discriminative Parsing with Non-Local Features
2008A New String-to-Dependency Machine Translation Algorithm with a Target Dependency Language Model
2007Learning synchronous grammars for semantic parsing with lambda calculus
2006Semantic taxonomy induction from heterogenous evidence
2005A Hierarchical Phrase-Based Model for Statistical Machine Translation
2004Finding Predominant Word Senses in Untagged Text
2003Accurate Unlexicalized Parsing
2003Towards a Model of Face-to-Face Grounding
2002Discriminative Training and Maximum Entropy Models for Statistical Machine Translation
2001Fast Decoding and Optimal Decoding for Machine Translation
2001Immediate-Head Parsing for Language Models

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BB93.0COLINGInternational Conference on Computational Linguistics2026-10-122027-05-09
AA*97.8AAAIAAAI Conference on Artificial Intelligence2026-07-212027-02-16
AA*97.5ICDEInternational Conference on Data Engineering2026-11-112027-05-17
AA*94.8CVPRIEEE Conference on Computer Vision and Pattern Recognition2026-11-102027-06-20
BA89.6NAACLAnnual Conference of the North American Chapter of the Association for Computational Linguistics2026-10-122027-06-01
AA*92.5NeurIPSConference on Neural Information Processing Systems2026-05-042026-12-06
BA*97.6IJCAIInternational Joint Conference on Artificial Intelligence2027-01-042027-08-07
BA*89.7ICAPSInternational Conference on Automated Planning and Scheduling2026-12-072027-06-27

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