Información de la conferencia
EMNLP 2026: Conference on Empirical Methods in Natural Language Processing
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Día de Entrega: |
2026-05-27 |
Fecha de Notificación: |
2026-08-20 |
Fecha de Conferencia: |
2026-10-24 |
Ubicación: |
Budapest, Hungary |
Años: |
23 |
CCF: b CORE: a QUALIS: a1 Vistas: 302415 Seguidores: 311 Asistentes: 41
Solicitud de Artículos
Submission Topics
EMNLP 2026 aims to have a broad technical program. Relevant topics for the conference include, but are not limited to, the following areas:
Clinical and Biomedical Applications
NLP and Code Models
Computational Social Science and Cultural Analytics
Dialogue and Interactive Systems
Discourse and Pragmatics
Efficient Methods for NLP
Ethics, Bias, and Fairness
NLP and Symbolic Reasoning
Generation
Human-Centered NLP and Human-AI Interaction
Information Extraction
Information Retrieval and Text Mining
Interpretability and Analysis of Models for NLP
Language Modeling
LLM Agents
LLM Security
Linguistic Theories, Cognitive Modeling, and Psycholinguistics
Machine Learning for NLP
Machine Translation
Multilingualism and Cross-Lingual NLP
Multimodality and Language Grounding to Vision, Robotics and Beyond
NLP Applications
Phonology, Morphology, and Word Segmentation
Question Answering
Resources and Evaluation
Semantics: Lexical and Sentence-Level
Sentiment Analysis, Stylistic Analysis, and Argument Mining
Speech Recognition, Text-to-Speech and Spoken Language Understanding
Summarization
Syntax: Tagging, Chunking and Parsing
Special Theme: New Missions for NLP Research
EMNLP 2026 aims to have a broad technical program. Relevant topics for the conference include, but are not limited to, the following areas:
Clinical and Biomedical Applications
NLP and Code Models
Computational Social Science and Cultural Analytics
Dialogue and Interactive Systems
Discourse and Pragmatics
Efficient Methods for NLP
Ethics, Bias, and Fairness
NLP and Symbolic Reasoning
Generation
Human-Centered NLP and Human-AI Interaction
Information Extraction
Information Retrieval and Text Mining
Interpretability and Analysis of Models for NLP
Language Modeling
LLM Agents
LLM Security
Linguistic Theories, Cognitive Modeling, and Psycholinguistics
Machine Learning for NLP
Machine Translation
Multilingualism and Cross-Lingual NLP
Multimodality and Language Grounding to Vision, Robotics and Beyond
NLP Applications
Phonology, Morphology, and Word Segmentation
Question Answering
Resources and Evaluation
Semantics: Lexical and Sentence-Level
Sentiment Analysis, Stylistic Analysis, and Argument Mining
Speech Recognition, Text-to-Speech and Spoken Language Understanding
Summarization
Syntax: Tagging, Chunking and Parsing
Special Theme: New Missions for NLP Research
Última Actualización Por Dou Sun en 2026-03-05
Coeficiente de Aceptación
| Año | Enviados | Aceptados | Aceptados(%) |
|---|---|---|---|
| 2025 | 8174 | 1811 | 22.2% |
| 2023 | 3868 | 901 | 23.3% |
| 2022 | 3242 | 715 | 22.1% |
| 2021 | 2540 | 650 | 25.6% |
| 2020 | 2455 | 602 | 24.5% |
| 2019 | 2914 | 683 | 23.4% |
| 2018 | 1376 | 351 | 25.5% |
| 2017 | 836 | 216 | 25.8% |
| 2016 | 687 | 177 | 25.8% |
| 2015 | 600 | 157 | 26.2% |
| 2014 | 510 | 155 | 30.4% |
| 2013 | 772 | 205 | 26.6% |
| 2012 | 570 | 139 | 24.4% |
| 2011 | 628 | 149 | 23.7% |
| 2010 | 500 | 125 | 25% |
| 2009 | 475 | 163 | 34.3% |
| 2008 | 385 | 116 | 30.1% |
| 2007 | 398 | 109 | 27.4% |
| 2006 | 234 | 73 | 31.2% |
| 2005 | 402 | 127 | 31.6% |
| 2004 | 247 | 58 | 23.5% |
| 2002 | 142 | 35 | 24.6% |
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| International Journal of Numerical Methods for Heat & Fluid Flow | 5.1 | Emerald | 0961-5539 | |
| b | Empirical Software Engineering | 3.6 | Springer | 1382-3256 |
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| c | Natural Language Engineering | 1.9 | Cambridge University Press | 1351-3249 |
| International Journal for Numerical Methods in Fluids | 1.8 | Wiley-Blackwell | 0271-2091 | |
| Optical Memory and Neural Networks | 1.000 | Springer | 1060-992X | |
| b | Formal Methods in System Design | 0.8 | Springer | 0925-9856 |