Conference Information

ACL 2027: Annual Meeting of the Association for Computational Linguistics

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ACL
Submission Date:
Notification Date:
Conference Date:
2027-08-17
Location:
Japan
Years:
CCF: A   ICORE: A*   QUALIS: A1   Viewed: 1846458   Tracked: 342   Attend: 35

Call For Papers

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.

Welcome! The 65th Annual Meeting of the Association for Computational Linguistics (ACL 2027) will take place in Japan from August 17–22, 2027.
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Acceptance Ratio

Average acceptance rate: 24.1% over 29 years (1997–2025).

YearSubmittedAcceptedAccepted(%)
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%

Best Papers

YearBest Papers
2023From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models
2023What the DAAM: Interpreting Stable Diffusion Using Cross Attention
2023Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest
2022KinyaBERT: a Morphology-aware Kinyarwanda Language Model
2022DiBiMT: A Novel Benchmark for Measuring Word Sense Disambiguation Biases in Machine Translation
2022Requirements and Motivations of Low-Resource Speech Synthesis for Language Revitalization
2022Learned Incremental Representations for Parsing
2021Vocabulary Learning via Optimal Transport for Neural Machine Translation
2020Beyond Accuracy: Behavioral Testing of NLP models with Checklist
2019Bridging the Gap between Training and Inference for Neural Machine Translation
2019OpenKiwi: An Open Source Framework for Quality Estimation
2019Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts
2019A Simple Theoretical Model of Importance for Summarization
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
2019We need to talk about standard splits
2019Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems
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
2009Concise Integer Linear Programming Formulations for Dependency Parsing
2009K-Best A* Parsing
2009Reinforcement Learning for Mapping Instructions to Actions
2008A New String-to-Dependency Machine Translation Algorithm with a Target Dependency Language Model
2008Forest Reranking: Discriminative Parsing with Non-Local Features
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
2003Towards a Model of Face-to-Face Grounding
2003Accurate Unlexicalized Parsing
2002Discriminative Training and Maximum Entropy Models for Statistical Machine Translation
2001Immediate-Head Parsing for Language Models
2001Fast Decoding and Optimal Decoding for Machine Translation

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