The 2026 Conference on Empirical Methods in Natural Language Processing

Oct 24 - 30, 2026

Budapest, Hungary

Oct 24 - 30, 2026

Budapest, Hungary

About the Conference

The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026) will be held in Budapest, Hungary from October 24th to October 29th, 2026. EMNLP is organized by ACL’s SIGDAT. EMNLP 2026 invites the submission of long and short papers featuring substantial, original, and unpublished research on empirical methods for Natural Language Processing.

Subject Areas

Submission Topics EMNLP 2026 Theme Track: New Missions for NLP Research Industry Track Topics - A. System design, efficiency, maintainability and scalability of real-world applications Industry Track Topics - B. Novel applications and use cases Industry Track Topics - C. Methods for deployed systems

Keynote Speakers

Pascale Fung

Towards AI that understands the Real World · The Hong Kong University of Science & Technology (HKUST)

Graham Neubig

On the Value of Open Research in Language Modeling - An Adversarial Dialog · Carnegie Mellon University

Anna Korhonen

TBA · TBA

Important Dates

2026-05-25 ARR submission deadline (long & short papers) CLOSED

2026-05-27 Reviewer registration deadline for ALL authors CLOSED

2026-07-07 Author response and author-reviewer discussion · July 7 - July 13, 2026 CLOSED

2026-07-30 Meta review released CLOSED

2026-08-02 EMNLP commitment deadline CLOSED

2026-08-20 Notification of acceptance (long & short papers) CLOSED

2026-08-30 Camera-ready papers due (long & short) NEXT

2026-10-24 Main Conference (dates for Workshops/Tutorials TBD) · October 24 - 29, 2026

2026-06-16 Industry Track Submission Deadline CLOSED

2026-07-26 Industry Track Review Release/Rebuttal Begins CLOSED

2026-08-02 Industry Track Author Response Deadline CLOSED

2026-08-20 Industry Track Notification of Acceptance CLOSED

2026-09-20 Industry Track Camera-ready Deadline

2026-07-10 System Demonstration Paper submission deadline CLOSED

2026-08-20 System Demonstration Notification of acceptance CLOSED

2026-08-30 System Demonstration Camera ready submission

2026-07-29 Volunteers Application Opens CLOSED

2026-09-01 Volunteers Application Deadline

2026-09-09 Volunteers Notification of Acceptance

2026-06-01 Tutorials Proposal Submission Deadline CLOSED

2026-07-15 Tutorials Notification of Acceptance CLOSED

TBD Tutorial Materials Due · One month prior to the date of the tutorial

Call For Papers

Submission Topics

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 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 Theme Track: New Missions for NLP Research

Rethinking progress and evaluation in NLP From models to systems and ecosystems Scientific understanding of language and cognition Data as a bottleneck and a responsibility LLMs as research tools: AI in research

Industry Track Topics - A. System design, efficiency, maintainability and scalability of real-world applications

Benchmarks and methods for latency and efficiency optimisation Continuous maintenance and system evolution Efficient methods for training and inference Implementation at optimised speed, scale and cost Infrastructure for large-scale deployment Handling unexpected user behaviour Human-in-the-loop system design Negative results related to real-world applications System combination and orchestration

Industry Track Topics - B. Novel applications and use cases

Best practices and lessons learned Case studies, from design to deployment Dataset creation for real-world applications Description of an application or system Development under practical constraints (model or data size) Novel applications and novel, previously unsolved problems

Industry Track Topics - C. Methods for deployed systems

Ethics, bias, fairness, harmlessness and trustworthiness in deployed systems Evaluation methodologies (offline and online) Interpretability and transparency Interactive and user-facing systems Online learning and adaptation Robustness and reliability

Publication & Indexing

PublisherACL

ProceedingsEMNLP 2026 proceedings

Conference Organization

Organized by

SIGDAT

Co-organized by

AACL (Asia-Pacific Chapter of the Association for Computational Linguistics) AFNLP (Asian Federation of Natural Language Processing)

Committee

General Chair

André Martins

Instituto Superior Técnico, Universidade de Lisboa

Program Chair

Sunipa Dev

Google

Desmond Elliott

University of Copenhagen

Hung-yi Lee

National Taiwan University

Jessy Li

The University of Texas at Austin

Industry Track Co-Chair

Pepa Atanasova

University of Copenhagen

Gholamreza Haffari

Monash University and Openstream AI

Demonstration Co-chair

Lingpeng Kong

Department of Computer Science, The University of Hong Kong

Sweta Agrawal

Alberto Abad

Tutorial Chair (EMNLP)

Goran Glavaš

University of Würzburg, Germany

Ana Marasović

University of Utah, USA

Tutorial Chair (AACL-IJCNLP)

Zhongqing Wang

Soochow University, China

Naoaki Okazaki

Institute of Science Tokyo, Japan

Student Volunteer Chair

Nafise Sadat Moosavi

Favour Yahdii Aghaebe

Senior Area Chair

Ahmad Beirami

Google DeepMind

Arman Cohan

Yale University and Allen Institute for Artificial Intelligence

Libo Qin

Central South University

Mengjie Zhao

SB Intuitions / Softbank

Pan Lu

Stanford University

Sarath Chandar

École Polytechnique de Montréal

Shumin Deng

National University of Singapore

Tuo Zhao

Georgia Institute of Technology

Xuan Wang

Virginia Polytechnic Institute and State University

Xuebo Liu

Harbin Institute of Technology, Shenzhen

Yu Su

Ohio State University

Zilong Zheng

Beijing Institute for General Artificial Intelligence

Christo Kirov

Google

Frank F. Xu

Microsoft

Graham Neubig

Carnegie Mellon University

Lingming Zhang

University of Illinois Urbana-Champaign

Md Rizwan Parvez

Qatar Computing Research Institute

Terry Yue Zhuo

Commonwealth Scientific and Industrial Research Organisation, CSIRO

Ziyang Luo

Salesforce Research

Ashiqur R. KhudaBukhsh

Rochester Institute of Technology

David Bamman

University of California Berkeley

Debora Nozza

Bocconi University

Diyi Yang

Stanford University

Pawan Goyal

IIT Kharagpur

Preslav Nakov

Mohamed bin Zayed University of Artificial Intelligence

Roy Ka-Wei Lee

Singapore University of Technology and Design

Tanu Mitra

University of Washington

Usman Naseem

Macquarie University

Lara J. Martin

University of Maryland, Baltimore County

Minlie Huang

Prithviraj Ammanabrolu

University of California, San Diego

Guanyi Chen

Central China Normal University

Jad Kabbara

Massachusetts Institute of Technology

Juntao Yu

Queen Mary University London

Maciej Ogrodniczuk

Institute of Computer Science, Polish Academy of Sciences

Michael Strube

Heidelberg Institute for Theoretical Studies

Vincent Ng

Hadi Amiri

University of Massachusetts Lowell

Mengnan Du

New Jersey Institute of Technology

Monojit Choudhury

Mohamed bin Zayed University of Artificial Intelligence

Natalie Schluter

Technical University of Denmark, Apple and IT University

Sunipa Dev

Google

Adina Williams

FAIR (Meta Platforms Inc.)

Roi Reichart

Technion, Israel Institute of Technology

Shay B. Cohen

University of Edinburgh

Swabha Swayamdipta

University of Southern California

Yue Zhang

Westlake University

Zoey Liu

University of Florida

Djamé Seddah

Inria Paris

Kewei Tu

ShanghaiTech University

Lingpeng Kong

Department of Computer Science, The University of Hong Kong

Hao Wang

Sichuan University

Lemei Zhang

Norwegian University of Science and Technology

Luciana Benotti

Universidad nacional de Córdoba

Lucie Flek

Rheinische Friedrich-Wilhelms Universität Bonn

Philippe Laban

Microsoft

Tongshuang Wu

School of Computer Science, Carnegie Mellon University

Farah Benamara

Institut de recherche en informatique de toulouse

Francis Ferraro

University of Maryland, Baltimore County

Krisztian Balog

Google and University of Stavanger

Qifan Wang

Meta AI

Sourish Dasgupta

Dhirubhai Ambani Institute of Information & Communication Technology

Sumit Bhatia

Adobe Systems

Wenhu Chen

University of Waterloo

Chenhao Tan

University of Chicago

Gjergji Kasneci

Technische Universität München and University of Tuebingen

Nadir Durrani

Qatar Computing Research Institute

Peter Hase

Schmidt Sciences

Aline Villavicencio

University of Exeter and University of Sheffield

Cassandra L. Jacobs

State University of New York, Buffalo

Rui Wang

Shanghai Jiao Tong University

Tal Linzen

New York University and Google

Akshay Nambi

Microsoft Research

Devamanyu Hazarika

Facebook

Eduardo Blanco

University of Arizona

Soujanya Poria

Nanyang Technological University

Mehdi Rezagholizadeh

Advanced Micro Devices

Miryam de Lhoneux

KU Leuven

Shafiq Joty

Nanyang Technological University and SalesForce.com

Wasi Uddin Ahmad

NVIDIA

Yue Dong

University of California, Riverside and McGill University

Asif Ekbal

Indian Institute of Technology, Jodhpur

Derek F. Wong

University of Macau

Sandipan Dandapat

Microsoft

Junjie Hu

University of Wisconsin, Madison

Wenpeng Yin

Pennsylvania State University

Zhiting Hu

University of California, San Diego and Amazon

Antonios Anastasopoulos

Athena Research Center and George Mason University

Ivan Vulić

Google DeepMind and University of Cambridge

Sebastian Ruder

Facebook

Huaxiu Yao

Department of Computer Science, University of North Carolina at Chapel Hill

Manling Li

Northwestern University

Xin Eric Wang

University of California, Santa Barbara and Simular

Yonatan Bisk

Carnegie Mellon University

Yujun Cai

The University of Queensland

Kartik Goyal

Georgia Institute of Technology

Lianhui Qin

Mohit Iyyer

University of Maryland, College Park

Yangfeng Ji

University of Virginia

Fabio Massimo Zanzotto

University of Rome Tor Vergata

Leonardo Ranaldi

Aakanksha Naik

Allen Institute for Artificial Intelligence and National Institutes of Health

Avirup Sil

International Business Machines

Gabriele Pergola

University of Warwick

Gholamreza Haffari

Monash University, Monash University and Monash University

Gokhan Tur

University of Illinois at Urbana-Champaign

Kevin Small

Amazon

Makoto Miwa

Toyota Technological Institute

Nikolaos Aletras

University of Sheffield, University of Sheffield and Amazon

Parisa Kordjamshidi

Michigan State University

Roman Klinger

Otto-Friedrich Universität Bamberg

Sophia Ananiadou

University of Manchester

Sudha Rao

Microsoft

Tristan Naumann

Microsoft Research

Wei Lu

Singapore University of Technology and Design

Yu Zhang

Texas A&M University - College Station

Eleanor Chodroff

University of Zurich

Micha Elsner

Ohio State University

Richard Sproat

Sakana AI

Sarah Moeller

University of Florida

Alessandro Moschitti

Amazon AGI

Andrew Yates

Johns Hopkins University

Huan Sun

The Ohio State University, Columbus

Mrinmaya Sachan

Swiss Federal Institute of Technology

Qingqing Cao

Apple

Yuval Pinter

Ben-Gurion University of the Negev

Adaku Uchendu

MIT Lincoln Laboratory

Ali Emami

Brock University

David Ifeoluwa Adelani

McGill University

Marzena Karpinska

Microsoft

Massimo Poesio

Utrecht University and Queen Mary, University of London

Mukul Singh

Microsoft

Peng Liu

Norwegian University of Science and Technology

Salam Khalifa

New York University and State University of New York, Stony Brook

Shuly Wintner

University of Haifa

Xi Ye

Yinya Huang

ETH Zurich

Jiaming Shen

Google DeepMind

Sewon Min

University of California, Berkeley and Allen Institute for Artificial Intelligence

Yiwei Wang

University of California, Merced

Greg Durrett

University of Texas at Austin

Kai-Wei Chang

University of California, Los Angeles and Amazon

Leon Derczynski

NVIDIA and IT University of Copenhagen

Ninareh Mehrabi

Amazon

Zhuosheng Zhang

Shanghai Jiao Tong University

Dani Yogatama

Google DeepMind and DeepMind

Ellie Pavlick

Brown University

Joo-Kyung Kim

Amazon

Kuan-Hao Huang

Texas A&M University

Teruko Mitamura

Carnegie Mellon University

Tristan Miller

University of Manitoba

Yi Zhou

Cardiff University

Henning Wachsmuth

Leibniz Universität Hannover

Saif M. Mohammad

Veronique Hoste

Armineh Nourbakhsh

Apple

David Jurgens

University of Michigan - Ann Arbor

Denis Newman-Griffis

University of Sheffield

Jana Diesner

Technische Universität München

Victoria Yaneva

National Board of Medical Examiners

Frank Rudzicz

Dalhousie University

Julia Hirschberg

Columbia University

Preethi Jyothi

Indian Institute of Technology Bombay

Rolando Coto-Solano

Dartmouth College

Sakriani Sakti

Nara Institute of Science and Technology, Japan, Japan Advanced Institute of Science and Technology, Tokyo Institute of Technology, Universitas Indonesia and RIKEN

Lu Wang

Northeastern University, Northeastern University and University of Michigan

Sachin Kumar

Ohio State University, Columbus

Snigdha Chaturvedi

Department of Computer Science, University of North Carolina at Chapel Hill