Conference Information
NAACL 2025: Annual Conference of the North American Chapter of the Association for Computational Linguistics
https://2025.naacl.org/
Submission Date:
2024-10-15
Notification Date:
Conference Date:
2025-04-29
Location:
Albuquerque, New Mexico, USA
Years:
23
CCF: b   CORE: a   QUALIS: a1   Viewed: 342179   Tracked: 180   Attend: 22

Call For Papers
NAACL 2024 invites the submission of long and short papers featuring substantial, original, and unpublished research in all aspects of Computational Linguistics and Natural Language Processing. NAACL 2024 has a goal of a diverse technical program—in addition to traditional research results, papers may contribute negative findings, survey an area, announce the creation of a new resource, argue a position, report novel linguistic insights derived using existing computational techniques, and reproduce, or fail to reproduce, previous results.

As in recent years, some of the presentations at the conference will be of papers accepted by the Transactions of the ACL (TACL) and the Computational Linguistics (CL) journals.

Submission TopicsPermalink

NAACL 2024 aims to have a broad technical program. Relevant topics for the conference include, but are not limited to, the following areas:

    Computational Social Science and Cultural Analytics
    Dialogue and Interactive Systems
    Discourse and Pragmatics
    Efficient/Low-resource Methods for NLP
    Ethics, Bias, and Fairness
    Generation
    Information Extraction
    Information Retrieval and Text Mining
    Interpretability and Analysis of Models for NLP
    Linguistic theories, Cognitive Modeling and Psycholinguistics
    Machine Learning for NLP
    Machine Translation
    Multilinguality and Language Diversity
    Multimodality and Language Grounding to Vision, Robotics and Beyond
    Phonology, Morphology and Word Segmentation
    Question Answering
    Resources and Evaluation
    Semantics: Lexical
    Semantics: Sentence-level Semantics, Textual Inference and Other areas
    Sentiment Analysis, Stylistic Analysis, and Argument Mining
    Speech recognition, text-to-speech and spoken language understanding
    Summarization
    Syntax: Tagging, Chunking and Parsing / ML
    NLP Applications
    Special Theme: Languages of Latin America
Last updated by Dou Sun in 2026-01-02
Acceptance Ratio
YearSubmittedAcceptedAccepted(%)
2021124535028.1%
2019106728126.3%
201864720732%
201639610025.3%
201540211729.1%
20132938830%
20121966131.1%
20102919030.9%
20092607528.8%
20072987224.2%
20062576224.1%
20041684325.6%
20031623722.8%
20021412819.9%
20011103128.2%
20001664325.9%
Best Papers
YearBest Papers
2019CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge
2019Probing the Need for Visual Context in Multimodal Machine Translation
2019CNM: An Interpretable Complex-valued Network for Matching
2019What’s in a Name? Reducing Bias in Bios Without Access to Protected Attributes
2019BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
2018Deep contextualized word representations
2016Learning to Compose Neural Networks for Question Answering
2016Feuding Families and Former Friends; Unsupervised Learning for Dynamic Fictional Relationships
2015Retrofitting Word Vectors to Semantic Lexicons
2015"You’re Mr. Lebowski, I’m the Dude”: Inducing Address Term Formality in Signed Social Networks
2015Unsupervised Morphology Induction Using Word Embeddings
2013Automatic Generation of English Respellings
2013The Life and Death of Discourse Entities: Identifying Singleton Mentions
2012Cross-lingual Word Clusters for Direct Transfer of Linguistic Structure
2012Trait-Based Hypothesis Selection for Machine Translation
2012Vine Pruning for Efficient Multi-Pass Dependency Parsing
2010“cba to check the spelling”: Investigating Parser Performance on Discussion Forum Posts
2010Coreference Resolution in a Modular, Entity-Centered Model
200911,001 New Features for Statistical Machine Translation
2009Unsupervised Morphological Segmentation with Log-Linear Models
2007Combining Outputs from Multiple Machine Translation Systems
2006Prototype-Driven Learning for Sequence Models
2006Probabilistic Context-Free Grammar Induction Based on Structural Zeros
2004Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization
Related Conferences
Related Journals
CCFFull NameImpact FactorPublisherISSN
bTransactions of the Association for Computational LinguisticsThe Association for Computational Linguistics2307-387X
bComputational Linguistics5.3MIT Press0891-2017
Automatic Documentation and Mathematical Linguistics0.500Springer0005-1055
Engineering Applications of Computational Fluid Mechanics5.4Taylor & Francis1994-2060
Foundations of Computational Mathematics2.500Springer1615-3375
Advances in Computational Mathematics1.700Springer1019-7168
Journal of the Association of Information Systems7.0Association for Information Systems1536-9323
Journal of Chemical Theory and Computation5.5American Chemical Society1549-9618
aInformation and Computation0.800Elsevier0890-5401
Journal of Bioinformatics and Computational BiologyWorld Scientific0219-7200