Call for Papers

[https://lrec-coling-2024.org/2nd-call-for-papers/]

Two international key players in the area of computational linguistics, the
ELRA Language Resources Association (ELRA) and the International Committee
on Computational Linguistics (ICCL), are joining forces to organize the
2024 Joint International Conference on Computational Linguistics, Language
Resources and Evaluation (LREC-COLING 2024) to be held in Torino, Italy on
20-25 May, 2024.
IMPORTANT DATES

(All deadlines are 11:59PM UTC-12:00 (“anywhere on Earth”)

   - 22 September 2023: Paper anonymity period starts
   - 13 October 2023: Final submissions due (long, short and position
   papers)
   - 13 October 2023: Workshop/Tutorial proposal submissions due
   - 22–29 January 2024: Author rebuttal period
   - 5 February 2024: Final reviewing
   - 19 February 2024: Notification of acceptance
   - 25 March 2024: Camera-ready due
   - 20-25 May 2024: LREC-COLING2024 conference

SUBMISSION TOPICS

LREC-COLING 2024 invites the submission of long and short papers featuring
substantial, original, and unpublished research in all aspects of natural
language and computation, language resources (LRs) and evaluation,
including spoken and sign language and multimodal interaction. Submissions
are invited in five broad categories: (i) theories, algorithms, and models,
(ii) NLP applications, (iii) language resources, (iv) NLP evaluation and
(v) topics of general interest. Submissions that span multiple categories
are particularly welcome.
(I) Theories, algorithms, and models

   - Discourse and Pragmatics
   - Explainability and Interpretability of Large Language Models
   - Language Modeling
   - CL/NLP and Linguistic Theories
   - CL/NLP for Cognitive Modeling and Psycholinguistics
   - Machine Learning for CL/NLP
   - Morphology and Word Segmentation
   - Semantics
   - Tagging, Chunking, Syntax and Parsing
   - Textual Inference

(II) NLP applications

   - Applications (including BioNLP and eHealth, NLP for legal purposes,
   NLP for Social Media and Journalism, etc.)
   - Dialogue and Interactive Systems
   - Document Classification, Topic Modeling, Information Retrieval and
   Cross-Lingual Retrieval
   - Information Extraction, Text Mining, and Knowledge Graph Derivation
   from Texts
   - Machine Translation for Spoken/Written/Sign Languages, and Translation
   Aids
   - Sentiment Analysis, Opinion and Argument Mining
   - Speech Recognition/Synthesis and Spoken Language Understanding
   - Natural Language Generation, Summarization and Simplification
   - Question Answering
   - Offensive Speech Detection and Analysis
   - Vision, Robotics, Multimodal and Grounded Language Acquisition

(III) Language resource design, creation, and use: text, speech, sign,
gesture, image, in single or multimodal/multimedia data

   - Guidelines, standards, best practices and models for LRs,
   interoperability
   - Methodologies and tools for LRs construction, annotation, and
   acquisition
   - Ontologies, terminology and knowledge representation
   - LRs and Semantic Web (including Linked Data, Knowledge Graphs, etc.)
   - LRs and Crowdsourcing
   - Metadata for LRs and semantic/content mark-up
   - LRs in systems and applications such as information extraction,
   information retrieval, audio-visual and multimedia search, speech
   dictation, meeting transcription, Computer-Aided Language Learning,
   training and education, mobile communication, machine translation, speech
   translation, summarisation, semantic search, text mining, inferencing,
   reasoning, sentiment analysis/opinion mining, (speech-based) dialogue
   systems, natural language and multimodal/multisensory interactions,
   chatbots, voice-activated services, etc.
   - Use of (multilingual) LRs in various fields of application like
   e-government, e-participation, e-culture, e-health, mobile applications,
   digital humanities, social sciences, etc.
   - LRs in the age of deep neural networks
   - Open, linked and shared data and tools, open and collaborative
   architectures
   - Bias in language resources
   - User needs, LT for accessibility

(IV) NLP evaluation methodologies

   - NLP evaluation methodologies, protocols and measures
   - Benchmarking of systems and products
   - Evaluation metrics in Machine Learning
   - Usability evaluation of HLT-based user interfaces and dialogue systems
   - User satisfaction evaluation

(V) Topics of general interest

   - Multilingual issues, language coverage and diversity, less-resourced
   languages
   - Replicability and reproducibility issues
   - Organisational, economical, ethical and legal issues
   - Priorities, perspectives, strategies in national and international
   policies
   - International and national activities, projects and initiatives

PAPER THEME TRACKS

Those topics are organized into 26 main tracks:

   - LC01   Applications Involving LRs and Evaluation (including
   Applications in Specific Domains)
   - LC02   CL and Linguistic Theories, Cognitive Modeling and
   Psycholinguistics
   - LC03   Corpora and Annotation (including Tools, Systems, Treebanks)
   - LC04   Dialogue, Conversational Systems, Chatbots, Human-Robot
   Interaction
   - LC05   Digital Humanities and Cultural Heritage
   - LC06   Discourse and Pragmatics
   - LC07   Document Classification, Information Retrieval and
   Cross-lingual Retrieval
   - LC08   Evaluation and Validation Methodologies
   - LC09   Inference, Reasoning, Question Answering
   - LC10   Information Extraction, Knowledge Extraction, and Text Mining
   - LC11   Integrated Systems and Applications
   - LC12   Knowledge Discovery/Representation (including Knowledge Graphs,
   Linked Data, Terminology, Ontologies)
   - LC13   Language Modeling
   - LC14   Less-Resourced/Endangered/Less-studied Languages
   - LC15   Lexicon and Semantics
   - LC16   Machine Learning Models and Techniques for CL/NLP
   - LC17   Multilinguality, Machine Translation, and Translation Aids
   (including Speech-to-Speech Translation)
   - LC18   Multimodality, Cross-modality (including Sign Languages, Vision
   and Other Modalities), Multimodal Applications, Grounded Language
   Acquisition, and HRI
   - LC19   Natural Language Generation, Summarization and Simplification
   - LC20   Offensive and Non-inclusive Language Detection and Analysis
   - LC21   Opinion & Argument Mining, Sentiment Analysis, Emotion
   Recognition/Generation
   - LC22   Parsing, Tagging, Chunking, Grammar, Syntax, Morphosyntax,
   Morphology
   - LC23   Policy issues, Ethics, Legal Issues, Bias Analysis (including
   Language Resource Infrastructures, Standards for LRs, Metadata)
   - LC24   Social Media Processing
   - LC25   Speech Resources and Processing (including Phonetic Databases,
   Phonology, Prosody, Speech Recognition, Synthesis and Spoken Language
   Understanding)
   - LC26   Trustworthiness, Interpretability, and Explainability of Neural
   Models

PAPER TYPES AND FORMATS

LREC-COLING 2024 invites high-quality submissions written in English.
Submissions of three forms of papers will be considered:

   1. Regular long papers – up to eight (8) pages maximum*, presenting
   substantial, original, completed, and unpublished work.
   2. Short papers – up to four (4) pages*, describing a small focused
   contribution, negative results, system demonstrations, etc.
   3. Position papers – up to eight (8) pages*, discussing key hot topics,
   challenges and open issues, as well as cross-fertilization between
   computational linguistics and other disciplines.

* Excluding any number of additional pages for references, ethical
consideration, conflict-of-interest, as well as data, and code availability
statements.



Upon acceptance, final versions of long papers will be given one additional
page – up to nine (9) pages of content plus unlimited pages for
acknowledgments and references – so that reviewers’ comments can be taken
into account. Final versions of short papers may have up to five (5) pages,
plus unlimited pages for acknowledgments and references. For both long and
short papers, all figures and tables that are part of the main text must
fit within these page limits.



Furthermore, appendices or supplementary material will also be allowed ONLY
in the final, camera-ready version, but not during submission, as papers
should be reviewed without the need to refer to any supplementary materials.



Linguistic examples, if any, should be presented in the original language
but also glossed into English to allow accessibility for a broader
audience.

Note that paper types are decisions made orthogonal to the eventual, final
form of presentation (i.e., oral versus poster).
PAPER SUBMISSIONS AND TEMPLATES

Submission is electronic, using the Softconf START conference management
system via the link:

https://softconf.com/lrec-coling2024/papers/

Both long and short papers must follow the LREC-COLING 2024 two-column
format, using the supplied official style files. The templates can be
downloaded from the Style Files and Formatting page provided on the
website. Please do not modify these style files, nor should you use
templates designed for other conferences. Submissions that do not conform
to the required styles, including paper size, margin width, and font size
restrictions, will be rejected without review.
AUTHOR RESPONSIBILITIES

Papers must be of original, previously-unpublished work. Papers must be
anonymized to support double-blind reviewing. Submissions thus must not
include authors’ names and affiliations. The submissions should also avoid
links to non-anonymized repositories: the code should be either submitted
as supplementary material in the final version of the paper, or as a link
to an anonymized repository (e.g., Anonymous GitHub
<https://anonymous.4open.science/> or Anonym Share <https://anonymfile.com/>).
Papers that do not conform to these requirements will be rejected without
review.

If the paper is available as a preprint, this must be indicated on the
submission form but not in the paper itself. In addition, LREC-COLING 2024
will follow the same policy as ACL conferences establishing an anonymity
period during which non-anonymous posting of preprints is not allowed.

More specifically, direct submissions to LREC-COLING 2024 may not be made
available online (e.g. via a preprint server) in a non-anonymized form
after September 22, 11:59PM UTC-12:00 (for arXiv, note that this refers to
submission time).

Also included in that policy are instructions to reviewers to not rate
papers down for not citing recent preprints. Authors are asked to cite
published versions of papers instead of preprint versions when possible.

Papers that have been or will be under consideration for other venues at
the same time must be declared at submission time. If a paper is accepted
for publication at LREC-COLING 2024, it must be immediately withdrawn from
other venues. If a paper under review at LREC-COLING 2024 is accepted
elsewhere and authors intend to proceed there, the LREC-COLING 2024
committee must be notified immediately
ETHICS STATEMENT

We encourage all authors submitting to LREC-COLING 2024 to include an
explicit ethics statement on the broader impact of their work, or other
ethical considerations after the conclusion but before the references. The
ethics statement will not count toward the page limit (8 pages for long, 4
pages for short papers).
PRESENTATION REQUIREMENT

All papers accepted to the main conference track must be presented at the
conference to appear in the proceedings, and at least one author must
register for LREC-COLING2024. Papers will be presented either orally or as
posters. The specific presentation modality of a paper will be decided
based on its content, with no difference in quality implied. Papers that
include a demonstration component will be presented as posters.

All papers accepted to the main conference will be required to submit a
presentation video. The conference will be hybrid, with an emphasis on
encouraging interaction between the online and in-person modalities, and
thus presentations can be either on-site or virtual.

-- 
Enrico Santus, PhD
*Head of Human Computation*
*CTO Office at Bloomberg LP*

*Website*: www.esantus.com
*E-mail*: [email protected]

*All opinions expressed in my private e-mails are my own, and they do not
represent any group, institution or company to which I am associated.*
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