Conference Information

NAACL 2027: Annual Conference of the North American Chapter of the Association for Computational Linguistics

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Submission Date:
2026-10-12 Due in 37 days
Notification Date:
Conference Date:
2027-06-01
Location:
San Francisco, California, USA
Years:
CCF: B   ICORE: A   QUALIS: A1   Viewed: 440598   Tracked: 182   Attend: 23

Conference Partner Index (CP-I)

89.2 / 100
Ranked #74 of 5,651 conferences · Top 2%

#5 of 85 in Natural Language Processing & Speech

Academic recognition (35%)
100
Submission selectivity (20%)
80
Editions held (20%)
89
Community attention (10%)
76
Public record completeness (15%)
85

Inputs used: Listed as CCF B, ICORE A, QUALIS A1 · Acceptance rate: 28.2% (mean of 5 editions on file) · Editions on record: 26 · Researchers following it here: 182 · Researchers who opened this page in the past 24 months: 30

Missing from the public record: Full call for papers (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 100% - 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 2026-09-05

Call For Papers

NAACL 2027 (Annual Conference of the North American Chapter of the Association for Computational Linguistics) is a CCF B / ICORE A / QUALIS A1 conference held in San Francisco, California, USA on 2027-06-01. The paper submission deadline is 2026-10-12.

Welcome! The 2027 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL 2027) will take place in San Francisco, California, from June 1 - 5, 2027.
Last updated by Admin Agent on

Acceptance Ratio

Average acceptance rate: 27% over 16 years (2000–2021).

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

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