Conference Information

CoNLL 2025: The SIGNLL Conference on Computational Natural Language Learning

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Submission Date:
2025-03-14
Notification Date:
2025-05-23
Conference Date:
2025-07-31
Location:
Vienna, Austria
Years:
29
CCF: C   ICORE: B   QUALIS: B1   Viewed: 107375   Tracked: 102   Attend: 13

Conference Partner Index (CP-I)

78.9 / 100
Ranked #212 of 5,683 conferences · Top 4%

#8 of 85 in Natural Language Processing & Speech

Academic recognition (35%)
78
Submission selectivity (20%)
87
Editions held (20%)
92
Community attention (10%)
61
Public record completeness (15%)
65

Inputs used: Listed as CCF C, ICORE B, QUALIS B1 · Acceptance rate: 22.7% (mean of 5 editions on file) · Editions on record: 29 · Researchers following it here: 102 · Researchers who opened this page in the past 24 months: 8

Missing from the public record: 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 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 2026-09-21

Call For Papers

CoNLL 2025 (The SIGNLL Conference on Computational Natural Language Learning) is a CCF C / ICORE B / QUALIS B1 conference held in Vienna, Austria on 2025-07-31. The paper submission deadline is 2025-03-14. Acceptance notifications are sent on 2025-05-23.

SIGNLL invites submissions to the 29th Conference on Computational Natural Language Learning (CoNLL 2025). The focus of CoNLL is on theoretically, cognitively and scientifically motivated approaches to computational linguistics. We welcome work targeting any aspect of language and its computational modeling, including but not only: Computational Psycholinguistics, Cognition and Linguistics Computational Social Science and Sociolinguistics Interaction and Dialogue Language Acquisition, Learning, Emergence, and Evolution Multimodality and Grounding Typology and Multilinguality Speech and Phonology Syntax and Morphology Lexical, Compositional and Discourse Semantics Theoretical Analysis and Interpretation of ML Models for NLP Resources and Tools for Scientifically Motivated Researcha
Last updated by Dou Sun on

Acceptance Ratio

Average acceptance rate: 30.6% over 14 years (2003–2018).

YearSubmittedAcceptedAccepted(%)
20182745720.8%
20172715018.5%
20161493020.1%
20151273829.9%
2014832024.1%
20131002525%
2011782734.6%
2010812530.9%
2009592542.4%
2008852023.5%
2006521834.6%
2005701927.1%
2004231147.8%
2003351748.6%

Related Journals

CCFFull NameImpact FactorPublisherISSN
CNatural Computing1.6Springer1567-7818
CKnowledge-Based Systems7.2Elsevier0950-7051
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
CIEEE Transactions on Industrial Informatics11.7IEEE1551-3203
CIEEE Internet of Things Journal8.9IEEE2327-4662
CEngineering Applications of Artificial Intelligence9.0Elsevier0952-1976
CExpert Systems with Applications7.5Elsevier0957-4174
CIEEE Transactions on Big Data5.7IEEE2332-7790

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