会议信息

NAACL 2025: Annual Conference of the North American Chapter of the Association for Computational Linguistics

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截稿日期:
2024-10-15
通知日期:
会议日期:
2025-04-29
会议地点:
Albuquerque, New Mexico, USA
届数:
23
CCF: b   CORE: a   QUALIS: a1   浏览: 416020   关注: 181   参加: 22

征稿

NAACL 2025 (Annual Conference of the North American Chapter of the Association for Computational Linguistics) is a CCF B / CORE A / QUALIS A1 conference held in Albuquerque, New Mexico, USA on 2025-04-29. The paper submission deadline is 2024-10-15.

NAACL 2024 invites the submission of long and short papers featuring substantial, original, and unpublished research in all aspects of Computational Linguistics and Natural Language Processing.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
由 Dou Sun 最后更新于

录用率

平均录用率: 27% 16 年间 (2000–2021).

年份提交数录用数录用率(%)
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%

最佳论文

年份最佳论文
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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相关期刊

CCF全称影响因子出版商ISSN
bTransactions of the Association for Computational LinguisticsThe Association for Computational Linguistics2307-387X
Journal of the Association of Information Systems7.0Association for Information Systems1536-9323
bComputational Linguistics5.3MIT Press0891-2017
bJournal of the American Medical Informatics Association4.6BMJ Journals1527-974X
The International Journal of Advanced Manufacturing Technology3.1Springer0268-3768
Journal of the Association for Information Science and Technology4.3John Wiley & Sons2330-1643
bIEEE Transactions on Multimedia9.7IEEE1520-9210
bSoftware & Systems Modeling3.2Springer1619-1366
bPattern Recognition7.6Elsevier0031-3203
bIEEE Transactions on Neural Networks and Learning Systems8.9IEEE1045-9227

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