35.942, Calls: The 2024 Conference on Empirical Methods in Natural Language Processing

[The LINGUIST List]

LINGUIST List: Vol-35-942. Fri Mar 15 2024. ISSN: 1069 - 4875.

Subject: 35.942, Calls: The 2024 Conference on Empirical Methods in Natural Language Processing

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Date: 13-Mar-2024
From: Elias Stengel-Eskin [esteng at cs.unc.edu]
Subject: The 2024 Conference on Empirical Methods in Natural Language Processing


Full Title: The 2024 Conference on Empirical Methods in Natural
Language Processing
Short Title: EMNLP 2024

Date: 12-Nov-2024 - 16-Nov-2024
Location: Miami, Florida, USA
Contact Person: Elias Stengel-Eskin
Meeting Email: emnlp2024-programchairs at googlegroups.com
Web Site: https://2024.emnlp.org

Linguistic Field(s): Cognitive Science; Computational Linguistics;
Text/Corpus Linguistics; Translation

Call Deadline: 15-Jun-2024

Meeting Description:

EMNLP 2024 invites the submission of long and short papers featuring
substantial, original, and unpublished research on empirical methods
for Natural Language Processing. EMNLP2024 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. EMNLP 2024 will be
held in the Hyatt Regency Miami in Miami, Florida (USA).

Call for Papers:

===Call for Main Conference Papers===
EMNLP 2024 invites the submission of long and short papers featuring
substantial, original, and unpublished research on empirical methods
for Natural Language Processing. EMNLP2024 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.
EMNLP 2024 will be held in the Hyatt Regency Miami in Miami, Florida
(USA).
===Paper Submission Information===
EMNLP will accept submissions through ARR only. Papers may be
submitted to the ARR 2024 June cycle (link to be provided later)
Papers that have received reviews and a meta-review from ARR (whether
from the ARR 2024 June cycle or an earlier ARR cycle) may be committed
to EMNLP (link to be provided later).
For detailed submission information, please refer to our webpage:
https://2024.emnlp.org
===Important Dates===
ARR submission deadline: June 15, 2024
Commitment deadline for EMNLP 2024: August 20, 2024
Notification of acceptance: September 20, 2024
Camber-ready papers due  (long and short): October 3, 2024
Main Conference: November 12-14, 2024
Workshop and Tutorials: November 15-16, 2024

Note: All deadlines are 11:59PM UTC-12:00 (“anywhere on Earth”).
Following the ACL and ARR policies, there is no anonymity period
requirement.
===Submission Topics===
EMNLP 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
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, Sentence-level Semantics, Textual Inference and
Other areas
Sentiment Analysis, Stylistic Analysis, and Argument Mining
Speech processing and spoken language understanding
Summarization
Syntax: Tagging, Chunking and Parsing
NLP Applications
Special Theme: Efficiency in Model Training and Inference: Addressing
Data Requirements and Model Size


===EMNLP 2024 Theme Track: Efficiency in Model Algorithms, Training,
and Inference===
This track provides a platform for researchers to explore key aspects
of making model algorithms, training, and inference more efficient,
e.g., quantization,  data requirements, and model size. We welcome
submissions that propose innovative approaches, methodologies, and
techniques to streamline the training and inference process for
language models while optimizing resource utilization and reducing
model size. Authors are encouraged to explore various ways to enhance
efficiency, including parameter-efficient tuning and methods for
learning with less data and smaller model sizes, ultimately leading to
more scalable, practical, and resource-efficient  NLP systems.

Visit https://2024.emnlp.org for more
For questions related to paper submission, and the review process in
general, email: editors at aclrollingreview.org
For all other questions email:
emnlp2024-programchairs at googlegroups.com



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