computational linguistics

EMNLP 2024 Final Call for Papers

Abbreviated Title: 
EMNLP 2024 Final Call for Papers
ACL-Sponsored Event: 
This is an ACL Sponsored Event
Event Notification Type: 
Call for Papers
Location: 
Hyatt Regency
Event Dates: 
Tuesday, 12 November 2024 to Saturday, 16 November 2024
Submission Deadline: 
Saturday, 15 June 2024
Contact: 
Thamar Solorio
Yaser Al-Onaizan
Mohit Bansal
Yun-Nung (Vivian) Chen
emnlp2024-programchairs@googlegroups.com
Contact Email: 
thamar.solorio [at] mbzuai.ac.ae
onaizan [at] gmail.com
mbansal [at] cs.unc.edu
yvchen [at] csie.ntu.edu.tw
emnlp2024-programchairs [at] googlegroups.com
City: 
Miami
State: 
Florida
Country: 
USA
Description/Details: 

===Final 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EMNLP 2024 invites the submission of long and short papers featuring substantial, original, and unpublished research on empirical methods for Natural Language Processing.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: https://openreview.net/group?id=aclweb.org/ACL/ARR/2024/June
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/contact
===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

CFW: Call for Workshop Proposals COLING 2025 - Deadline is May 31, 2024

Abbreviated Title: 
COLING 2025 CFP
ACL-Sponsored Event: 
No
Event Notification Type: 
Call for Proposals
Submission Deadline: 
Friday, 31 May 2024
Contact Email: 
coling2025-programchairs [at] googlegroups.com
City: 
Abu Dhabi
Country: 
UAE
Description/Details: 

Dear colleagues,

This is the second Call for Workshops for the 31st International Conference on Computational Linguistics, scheduled to take place from 19th to 24th January 2025 in Abu Dhabi, UAE.

Website: https://coling2025.org

submission link: https://softconf.com/coling2025/wsCL25/

Proposal submission due May 31, 2024

Call for Workshop Proposals: https://coling2025.org/calls/workshop_proposals/

The International Conference on Computational Linguistics (COLING) invites proposals for workshops to be held in conjunction with the 31st edition of COLING in 2025 in Abu Dhabi (UAE).

We solicit proposals in all areas of computational linguistics, language resources and evaluation, broadly conceived to include related disciplines such as linguistics, language documentation, natural language processing, speech and multimodal processing, computational social science, and the digital humanities.

Note: for this edition of COLING, we will not be conducting a joint call for workshops with the ACL conferences (AACL, ACL, EACL, EMNLP, NAACL). This is due to scheduling differences between COLING and the ACL conferences in 2025. COLING is happening much earlier than the *ACL conferences, which makes it impractical to coordinate a joint call. However, we anticipate a return to joint workshop calls in the future.

IMPORTANT DATES

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

Proposal submission due May 31, 2024

Notification of acceptance June 30, 2024

COLING-2025 Workshops January 19-20, 2025

COLING-2025 conference January 21-24, 2025

SUBMISSION INFORMATION

Proposals should be submitted as PDF documents. Note that submissions should essentially be ready to be turned into a Call for Workshop Papers shortly after the notification. The proposals should be at most two pages long for the main proposal, with additional two pages permitted for information about organisers, tentative program committee, and references. Hence, the entire proposal should not exceed FOUR pages in length, excluding references. Please note that workshops should either be 100% in-person or 100% virtual; hybrid formats will not be allowed. For in-person workshops, at least one workshop organiser should be physically present to run the workshop at COLING.

More information about the CFW submission can be found on the website: https://coling2025.org/calls/workshop_proposals/

CONTACT

For any questions related to the workshop proposals only, please send your email to coling2025-programchairs [at] googlegroups.com

Please do not email the workshop chairs directly.

Sincerely,

COLING 2025 Website/Publicity/Social Media Chairs

Hasan Iqbal (MBZUAI, UAE)

Zain Muhammad Mujahid (MBZUAI, UAE)

Sakhar AlKhereyf (KACST, Saudi Arabia)

[Deadline extended] Final Call for Papers: LUHME: Language Understanding in the Human-Machine Era

Abbreviated Title: 
LUHME
ACL-Sponsored Event: 
No
Event Notification Type: 
Call for Papers
Location: 
ECAI 2024
Event Dates: 
Sunday, 20 October 2024
Submission Deadline: 
Saturday, 29 June 2024
Contact: 
Rui Sousa-Silva
Henrique Lopes Cardoso
Maarit Koponen
Antonio Pareja-Lora
Márta Seresi
Contact Email: 
rssilva [at] letras.up.pt
hlc [at] fe.up.pt
City: 
Santiago de Compostela
Country: 
Spain
Description/Details: 

Large language models (LLMs) have revolutionized the development of interactional artificial intelligence (AI) systems by democratizing their use. These models have shown remarkable advancements in various applications such as conversational AI and machine translation, marking the undeniable advent of the human-machine era. However, despite their significant achievements, state-of-the-art systems still exhibit shortcomings in language understanding, raising questions about their true comprehension of human languages.
The concept of language understanding has always been contentious, as meaning-making depends not only on form and immediate meaning but also on context. Therefore, understanding natural language involves more than just parsing form and meaning; it requires access to grounding for true comprehension. Equipping language models with linguistics-grounded capabilities remains a complex task, given the importance of discourse, pragmatics, and social context in language understanding.
Understanding language is a doubly challenging task as it necessitates not only grasping the intrinsic capabilities of LLMs but also examining their impact and requirements in real-world applications. While LLMs have shown effectiveness in various applications, the lack of supporting theories raises concerns about ethical implications, particularly in applications involving human interaction.
The “Language Understanding in the Human-Machine Era” (LUHME) workshop aims to reignite the debate on the role of understanding in natural language use and its applications. It seeks to explore the necessity of language understanding in computational tasks like machine translation and natural language generation, as well as the contributions of language professionals in enhancing computational language understanding.

Relevant Topics:
- Language understanding in LLMs
- Language grounding
- Psycholinguistic approaches to language understanding
- Discourse, pragmatics, and language understanding
- Evaluation of language understanding
- Multi-modality and language understanding
- Socio-cultural aspects in understanding language
- Effects of language misunderstanding by computational models
- Manifestations of language understanding
- Distributional semantics and language understanding
- Linguistic theory and language understanding by machines
- Linguistic, world, and common sense knowledge in language understanding
- Machine translation and/or interpreting and language understanding
- Human vs. machine language understanding
- Role of language professionals in the LLMs era
- Understanding language and explainable AI

We invite researchers interested in the intersection of language understanding and the effective use of language technologies in human-machine interaction to submit papers and participate in LUHME 2024.

3rd CfP: The 8th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature

Abbreviated Title: 
LaTeCH-CLfL 2024
ACL-Sponsored Event: 
This is an ACL Sponsored Event
Event Notification Type: 
Call for Papers
Location: 
EACL2024
Submission Deadline: 
Monday, 18 December 2023
Contact: 
Yuri Bizzoni
Stefania Degaetano-Ortlieb
Anna Kazantseva
Stan Szpakowicz
Contact Email: 
latech-clfl [at] googlegroups.com
City: 
Malta
State: 
Country: 
Description/Details: 

LaTeCH-CLfL 2024:
The 8th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature

to be held in March 2024 in conjunction with EACL 2024 in St Julian’s, Malta.

https://sighum.wordpress.com/latech-clfl-2024/

Third Call for Papers (with apologies for cross-posting)

Organisers: Yuri Bizzoni, Stefania Degaetano-Ortlieb, Anna Kazantseva, Stan Szpakowicz

LaTeCH-CLfL 2024 is the eighth in a series of meetings for NLP researchers who work with data from the broadly understood arts, humanities and social sciences, and for specialists in those disciplines who apply NLP techniques in their work. The workshop continues a long tradition of annual meetings. The SIGHUM Workshops on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH) ran ten times in 2007-2016. The five Workshops on Computational Linguistics for Literature (CLfL) took place in 2012-2016. The first seven joint workshops (LaTeCH-CLfL) were held in 2017-2023.

Topics and content

In the Humanities, Social Sciences, Cultural Heritage and literary communities, there is increasing interest in, and demand for, NLP methods for semantic and structural annotation, intelligent linking, discovery, querying, cleaning and visualization of both primary and secondary data. This is even true of primarily non-textual collections, given that text is also the pervasive medium for metadata. Such applications pose new challenges for NLP research: noisy, non-standard textual or multi-modal input, historical languages, vague research concepts, multilingual parts within one document, and so no. Digital resources often have insufficient coverage; resource-intensive methods require (semi-)automatic processing tools and domain adaptation, or intense manual effort (e.g., annotation).

Literary texts bring their own problems, because navigating this form of creative expression requires more than the typical information-seeking tools. Examples of advanced tasks include the study of literature of a certain period, author or sub-genre, recognition of certain literary devices, or quantitative analysis of poetry.

NLP methods applied in this context not only need to achieve high performance, but are often applied as a first step in research or scholarly workflow. That is why it is crucial to interpret model results properly; model interpretability might be more important than raw performance scores, depending on the context.

More generally, there is a growing interest in computational models whose results can be used or interpreted in meaningful ways. It is, therefore, of mutual benefit that NLP experts, data specialists and Digital Humanities researchers who work in and across their domains get involved in the Computational Linguistics community and present their fundamental or applied research results. It has already been demonstrated how cross-disciplinary exchange not only supports work in the Humanities, Social Sciences, and Cultural Heritage communities but also promotes work in the Computational Linguistics community to build richer and more effective tools and models.

Topics of interest include, but are not limited to, the following:

• adaptation of NLP tools to Cultural Heritage, Social Sciences, Humanities and literature;
• automatic error detection and cleaning of textual data;
• complex annotation schemas, tools and interfaces;
• creation (fully- or semi-automatic) of semantic resources;
• creation and analysis of social networks of literary characters;
• discourse and narrative analysis/modelling, notably in literature;
• emotion analysis for the humanities and for literature;
• generation of literary narrative, dialogue or poetry;
• identification and analysis of literary genres;
• interpretability of large language models output for DH-related tasks (explainable AI);
• linking and retrieving information from different sources, media, and domains;
• low-resource and historical language processing;
• modelling dialogue literary style for generation;
• modelling of information and knowledge in the Humanities, Social Sciences, and Cultural Heritage;
• profiling and authorship attribution;
• search for scientific and/or scholarly literature;
• work with linguistic variation and non-standard or historical use of language.

Information for authors

We invite papers on original, unpublished work in the topic areas of the workshop. In addition to long papers, we will consider short papers and system descriptions (demos). We also welcome position papers.

• Long papers, presenting completed work, may consist of up to eight (8) pages of content plus additional pages of references (just two if possible -:). The final camera-ready versions of accepted long papers will be given one additional page of content (up to 9 pages) so that reviewers’ comments can be taken into account.
• A short paper / demo presenting work in progress, or the description of a system, and may consist of up to four (4) pages of content plus additional pages of references (one if you can). Upon acceptance, short papers will be given five (5) content pages in the proceedings.
• A position paper — clearly marked as such — should not exceed eight (8) pages including references.

We do not accept papers under multiple submission.

Please use the EACL stylesheets for LaTeX / Overleaf (or, if you must, for MS Word); last year’s templates at https://2023.eacl.org/calls/styles are a fine choice. (All current *ACL styles are discussed at https://github.com/acl-org/acl-style-files.) Papers should be submitted electronically, only in PDF, via the LaTeCH-CLfL2024 submission website on the SoftConf pages at https://softconf.com/eacl2024/LaTeCH-CLfL-2024/.

Reviewing will be double-blind. Please do not include the authors’ names and affiliations, or any references to Web sites, project names, acknowledgements and so on — anything that immediately reveals the authors’ identity. Self-references should be kept to a reasonable minimum, and anonymous citations cannot be used. We will make an exception for demo papers: the review may be single-blind.

Accepted papers will be published in the workshop proceedings available as usual in the ACL Anthology.

Important dates

Workshop paper due: December 18, 2023
Notification of acceptance: January 20, 2024
Camera-ready papers due: January 30 2024
Workshop date: March 21 or 22, 2024

More on the organizers

Yuri Bizzoni, Center for Humanities Computing / School for Communication and Culture, Århus University
Stefania Degaetano-Ortlieb, Language Science and Technology, Saarland University
Anna Kazantseva, National Research Council Canada
Stan Szpakowicz, School of Electrical Engineering and Computer Science, University of Ottawa

Contact

latech-clfl [at] googlegroups.com

The 8th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature

Abbreviated Title: 
LaTeCH-CLfL 2024
ACL-Sponsored Event: 
This is an ACL Sponsored Event
Event Notification Type: 
Call for Papers
Location: 
EACL2024
Submission Deadline: 
Monday, 18 December 2023
Contact: 
Yuri Bizzoni
Stefania Degaetano-Ortlieb
Anna Kazantseva
Stan Szpakowicz
Contact Email: 
latech-clfl [at] googlegroups.com
City: 
Malta
State: 
Country: 
Description/Details: 

LaTeCH-CLfL 2024:
The 8th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature

to be held in March 2024 in conjunction with EACL 2024 in St Julian’s, Malta.

https://sighum.wordpress.com/latech-clfl-2024/

Second Call for Papers (with apologies for cross-posting)

Organisers: Yuri Bizzoni, Stefania Degaetano-Ortlieb, Anna Kazantseva, Stan Szpakowicz

LaTeCH-CLfL 2024 is the eighth in a series of meetings for NLP researchers who work with data from the broadly understood arts, humanities and social sciences, and for specialists in those disciplines who apply NLP techniques in their work. The workshop continues a long tradition of annual meetings. The SIGHUM Workshops on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH) ran ten times in 2007-2016. The five Workshops on Computational Linguistics for Literature (CLfL) took place in 2012-2016. The first seven joint workshops (LaTeCH-CLfL) were held in 2017-2023.

Topics and content

In the Humanities, Social Sciences, Cultural Heritage and literary communities, there is increasing interest in, and demand for, NLP methods for semantic and structural annotation, intelligent linking, discovery, querying, cleaning and visualization of both primary and secondary data. This is even true of primarily non-textual collections, given that text is also the pervasive medium for metadata. Such applications pose new challenges for NLP research: noisy, non-standard textual or multi-modal input, historical languages, vague research concepts, multilingual parts within one document, and so no. Digital resources often have insufficient coverage; resource-intensive methods require (semi-)automatic processing tools and domain adaptation, or intense manual effort (e.g., annotation).

Literary texts bring their own problems, because navigating this form of creative expression requires more than the typical information-seeking tools. Examples of advanced tasks include the study of literature of a certain period, author or sub-genre, recognition of certain literary devices, or quantitative analysis of poetry.

NLP methods applied in this context not only need to achieve high performance, but are often applied as a first step in research or scholarly workflow. That is why it is crucial to interpret model results properly; model interpretability might be more important than raw performance scores, depending on the context.

More generally, there is a growing interest in computational models whose results can be used or interpreted in meaningful ways. It is, therefore, of mutual benefit that NLP experts, data specialists and Digital Humanities researchers who work in and across their domains get involved in the Computational Linguistics community and present their fundamental or applied research results. It has already been demonstrated how cross-disciplinary exchange not only supports work in the Humanities, Social Sciences, and Cultural Heritage communities but also promotes work in the Computational Linguistics community to build richer and more effective tools and models.

Topics of interest include, but are not limited to, the following:

• adaptation of NLP tools to Cultural Heritage, Social Sciences, Humanities and literature;
• automatic error detection and cleaning of textual data;
• complex annotation schemas, tools and interfaces;
• creation (fully- or semi-automatic) of semantic resources;
• creation and analysis of social networks of literary characters;
• discourse and narrative analysis/modelling, notably in literature;
• emotion analysis for the humanities and for literature;
• generation of literary narrative, dialogue or poetry;
• identification and analysis of literary genres;
• interpretability of large language models output for DH-related tasks (explainable AI);
• linking and retrieving information from different sources, media, and domains;
• low-resource and historical language processing;
• modelling dialogue literary style for generation;
• modelling of information and knowledge in the Humanities, Social Sciences, and Cultural Heritage;
• profiling and authorship attribution;
• search for scientific and/or scholarly literature;
• work with linguistic variation and non-standard or historical use of language.

Information for authors

We invite papers on original, unpublished work in the topic areas of the workshop. In addition to long papers, we will consider short papers and system descriptions (demos). We also welcome position papers.

• Long papers, presenting completed work, may consist of up to eight (8) pages of content plus additional pages of references (just two if possible -:). The final camera-ready versions of accepted long papers will be given one additional page of content (up to 9 pages) so that reviewers’ comments can be taken into account.
• A short paper / demo presenting work in progress, or the description of a system, and may consist of up to four (4) pages of content plus additional pages of references (one if you can). Upon acceptance, short papers will be given five (5) content pages in the proceedings.
• A position paper — clearly marked as such — should not exceed eight (8) pages including references.

All submissions are to use the EACL stylesheets (for LaTeX / Overleaf and MS Word); there will be a link soon (we hope) but last year's https://2023.eacl.org/calls/styles is a good guess. Papers should be submitted electronically, only in PDF, via the LaTeCH-CLfL2024 submission website on the SoftConf pages at https://softconf.com/eacl2024/LaTeCH-CLfL-2024/.

Reviewing will be double-blind. Please do not include the authors’ names and affiliations, or any references to Web sites, project names, acknowledgements and so on — anything that immediately reveals the authors’ identity. Self-references should be kept to a reasonable minimum, and anonymous citations cannot be used. We will make an exception for demo papers: the review may be single-blind.

Accepted papers will be published in the workshop proceedings available as usual in the ACL Anthology.

Important dates (still tentative)

Workshop paper due: December 18, 2023
Notification of acceptance: January 20, 2024
Camera-ready papers due: January 30 2024
Workshop date: March 21 or 22, 2024

More on the organizers

Yuri Bizzoni, Center for Humanities Computing / School for Communication and Culture, Århus University
Stefania Degaetano-Ortlieb, Language Science and Technology, Saarland University
Anna Kazantseva, National Research Council Canada
Stan Szpakowicz, School of Electrical Engineering and Computer Science, University of Ottawa

Contact

latech-clfl [at] googlegroups.com

The 8th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature

Abbreviated Title: 
LaTeCH-CLfL 2024
ACL-Sponsored Event: 
This is an ACL Sponsored Event
Event Notification Type: 
Call for Papers
Location: 
EACL 2024
Submission Deadline: 
Monday, 18 December 2023
Contact: 
Yuri Bizzoni
Stefania Degaetano-Ortlieb
Anna Kazantseva
Stan Szpakowicz
Contact Email: 
latech-clfl [at] googlegroups.com
City: 
Malta
State: 
Country: 
Description/Details: 

LaTeCH-CLfL 2024:
The 8th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature

to be held in March 2024 in conjunction with EACL 2024 in Malta.

https://sighum.wordpress.com/latech-clfl-2024/

First Call for Papers (with apologies for cross-posting)

Organizers: Yuri Bizzoni, Stefania Degaetano-Ortlieb, Anna Kazantseva, Stan Szpakowicz

LaTeCH-CLfL 2024 is the eighth in a series of meetings for NLP researchers who work with data from the broadly understood arts, humanities and social sciences, and for specialists in those disciplines who apply NLP techniques in their work. The workshop continues a long tradition of annual meetings. The SIGHUM Workshops on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH) ran ten times in 2007-2016. The five Workshops on Computational Linguistics for Literature (CLfL) took place in 2012-2016. The first seven joint workshops (LaTeCH-CLfL) were held in 2017-2023.

Topics and content

In the Humanities, Social Sciences, Cultural Heritage and literary communities, there is increasing interest in, and demand for, NLP methods for semantic and structural annotation, intelligent linking, discovery, querying, cleaning and visualization of both primary and secondary data. This is even true of primarily non-textual collections, given that text is also the pervasive medium for metadata. Such applications pose new challenges for NLP research: noisy, non-standard textual or multi-modal input, historical languages, vague research concepts, multilingual parts within one document, and so no. Digital resources often have insufficient coverage; resource-intensive methods require (semi-)automatic processing tools and domain adaptation, or intense manual effort (e.g., annotation).

Literary texts bring their own problems, because navigating this form of creative expression requires more than the typical information-seeking tools. Examples of advanced tasks include the study of literature of a certain period, author or sub-genre, recognition of certain literary devices, or quantitative analysis of poetry.

NLP methods applied in this context not only need to achieve high performance, but are often applied as a first step in research or scholarly workflow. That is why it is crucial to interpret model results properly; model interpretability might be more important than raw performance scores, depending on the context.

More generally, there is a growing interest in computational models whose results can be used or interpreted in meaningful ways. It is, therefore, of mutual benefit that NLP experts, data specialists and Digital Humanities researchers who work in and across their domains get involved in the Computational Linguistics community and present their fundamental or applied research results. It has already been demonstrated how cross-disciplinary exchange not only supports work in the Humanities, Social Sciences, and Cultural Heritage communities but also promotes work in the Computational Linguistics community to build richer and more effective tools and models.

Topics of interest include, but are not limited to, the following:

• adaptation of NLP tools to Cultural Heritage, Social Sciences, Humanities and literature;
• automatic error detection and cleaning of textual data;
• complex annotation schemas, tools and interfaces;
• creation (fully- or semi-automatic) of semantic resources;
• creation and analysis of social networks of literary characters;
• discourse and narrative analysis/modelling, notably in literature;
• emotion analysis for the humanities and for literature;
• generation of literary narrative, dialogue or poetry;
• identification and analysis of literary genres;
• interpretability of large language models output for DH-related tasks (explainable AI);
• linking and retrieving information from different sources, media, and domains;
• low-resource and historical language processing;
• modelling dialogue literary style for generation;
• modelling of information and knowledge in the Humanities, Social Sciences, and Cultural Heritage;
• profiling and authorship attribution;
• search for scientific and/or scholarly literature;
• work with linguistic variation and non-standard or historical use of language.

Information for authors

We invite papers on original, unpublished work in the topic areas of the workshop. In addition to long papers, we will consider short papers and system descriptions (demos). We also welcome position papers.

• Long papers, presenting completed work, may consist of up to eight (8) pages of content plus additional pages of references (just two if possible -:). The final camera-ready versions of accepted long papers will be given one additional page of content (up to 9 pages) so that reviewers’ comments can be taken into account.
• A short paper / demo presenting work in progress, or the description of a system, and may consist of up to four (4) pages of content plus additional pages of references (one if you can). Upon acceptance, short papers will be given five (5) content pages in the proceedings.
• A position paper — clearly marked as such — should not exceed eight (8) pages including references.

All submissions are to use the EACL stylesheets (for LaTeX / Overleaf and MS Word); there will be a link soon (we hope) but last year's https://2023.eacl.org/calls/styles is a good guess. Papers should be submitted electronically, only in PDF, via the LaTeCH-CLfL2024 submission website on the SoftConf pages (we will publish the link as soon as we have it).

Reviewing will be double-blind. Please do not include the authors’ names and affiliations, or any references to Web sites, project names, acknowledgements and so on — anything that immediately reveals the authors’ identity. Self-references should be kept to a reasonable minimum, and anonymous citations cannot be used.

Accepted papers will be published in the workshop proceedings available as usual in the ACL Anthology.

Important dates (tentative)

Workshop paper due: December 18, 2023
Notification of acceptance: January 20, 2024
Camera-ready papers due: January 30 2024
Workshop date: March 21 or 22, 2024

More on the organizers

Yuri Bizzoni, Center for Humanities Computing / School for Communication and Culture, Århus University
Stefania Degaetano-Ortlieb, Language Science and Technology, Saarland University
Anna Kazantseva, National Research Council Canada
Stan Szpakowicz, School of Electrical Engineering and Computer Science, University of Ottawa

Contact

latech-clfl [at] googlegroups.com

2nd Call for Papers: Special Issue of Computational Linguistics on Language Learning, Representation, and Processing in Humans and Machines

Abbreviated Title: 
ACL-Sponsored Event: 
This is an ACL Sponsored Event
Event Notification Type: 
Call for Papers
Location: 
Submission Deadline: 
Sunday, 10 December 2023
Contact: 
Marianna Apidianaki
Abdellah Fourtassi
Sebastian Padó
Contact Email: 
marapi [at] seas.upenn.edu
abdellah.fourtassi [at] gmail.com
pado [at] ims.uni-stuttgart.de
City: 
State: 
Country: 
Description/Details: 

2nd Call for Papers

Special Issue of Computational Linguistics: Language Learning, Representation, and Processing in Humans and Machines

** Guest Editors **

Marianna Apidianaki (University of Pennsylvania)
Abdellah Fourtassi (Aix Marseille University)
Sebastian Padó (University of Stuttgart)

** NEW: Abstract submission deadline: November 10 **

** Paper submission deadline: December 10 **

Large language models (LLMs) acquire rich world knowledge from the data they are exposed to during training, in a way that appears to parallel how children learn from the language they hear around them. Indeed, since the introduction of these powerful models, there has been a general feeling among researchers in both NLP and cognitive science that a systematic understanding of how these models work and how they use the knowledge they encode, would shed light on the way humans acquire, represent, and process this same knowledge (and vice versa).

Yet, despite the similarities, there are important differences between machines and humans that have prevented a direct translation of insights from the analysis of LLMs to a deeper understanding of human learning. Chief among these differences is that the size of data required to train LLMs far exceeds -- by several orders of magnitude -- the data children need to acquire sophisticated conceptual structures and meanings. Besides, the engineering-driven architectures of LLMs do not appear to have obvious equivalents in children's cognitive apparatus, at least as studied by standard methods in experimental psychology. Finally, children acquire world knowledge not only via exposure to language but also via sensory experience and social interaction.

This edited volume aims to create a forum of exchange and debate between linguists, cognitive scientists and experts in deep learning, NLP and computational linguistics, on the broad topic of learning in humans and machines. Experts from these communities can contribute with empirical and theoretical papers that advance our understanding of this question. Submissions might address the acquisition of different types of linguistic and world knowledge. Additionally, we invite contributions that characterize and address challenges related to the mismatch between humans and LLMs in terms of the size and nature of input data, and the involved learning and processing mechanisms.

Topics include, but are not limited to:

- Grounded learning: comparison of unimodal (e.g., text) vs multimodal (e.g., images and video) learning.
- Social learning: comparison of input-driven mechanisms vs. interaction-based learning.
- Exploration of different knowledge types (e.g., procedural / declarative); knowledge integration and inference in LLMs.
- Methods to characterize and quantify human-like language learning or processing in LLMs.
- Interpretability/probing methods addressing the linguistic and world knowledge encoded in LLM representations.
- Knowledge enrichment methods aimed at improving the quality and quantity of the knowledge encoded in LLMs.
- Semantic representation and processing in humans and machines in terms of, e.g., abstractions made, structure of the lexicon, property inheritance and generalization, geometrical approaches to meaning representation, mental associations, and meaning retrieval.
- Bilingualism in humans and machines; second language acquisition in children and adults; construction of multi-lingual spaces and cross-lingual correspondences.
- Exploration of language models that incorporate cognitively plausible mechanisms and reasonably-sized training data.
- Use of techniques from other disciplines (e.g., neuroscience or computer vision) for analyzing and evaluating LLMs.
- Open-source tools for analysis, visualization, or explanation.

Submission Instructions

** NEW ** Authors are strongly encouraged to submit a short (max 1 page) abstract of their paper by November 10. Abstracts will be sent to the Guest Editors (e-mails below). Minor modifications to the abstract will still be possible until final submission.

Papers should be formatted according to the Computational Linguistics style guidelines: http://cljournal.org/ We accept both long and short papers. Long papers are between 25 and 40 journal pages in length; short papers are between 15 and 25 pages in length.

Papers for this special issue will be submitted through the CL electronic submission system, just like regular papers: http://cljournal.org/submissions.html

Authors of special issue papers will need to select “Special Issue on LLRP” under the Journal Section heading in the CL submission system. Please note that papers submitted to a special issue undergo the same reviewing process as regular papers.

Timeline

Deadline for abstract submission: November 10, 2023
Deadline for paper submissions: December 10, 2023
Notification after 1st round of reviewing: February 10, 2024
Revised versions of the papers: April 30, 2024
Final decisions: June 10, 2024
Final version of the papers: July 1, 2024

Inquiries

All inquiries should be directed to the guest editors of this special issue.

Guest Editors

Marianna Apidianaki
marapi@seas.upenn.edu

Abdellah Fourtassi
abdellah.fourtassi@gmail.com

Sebastian Padó
pado@ims.uni-stuttgart.de

Reviewers

Afra Alishahi, Tilburg University
Rachel Bawden, INRIA
Philippe Blache, Aix-Marseille University, CNRS
Idan Blank, University of California, Los Angeles (UCLA)
Gemma Boleda, Universitat Pompeu Fabra
Marie-Catherine de Marneffe, UCLouvain, FNRS, The Ohio State University
Katrin Erk, University of Texas at Austin
Benoit Favre, Aix-Marseille University
Richard Futrell, University of California, Irvine (UCI)
Aina Garí Soler, Télécom-Paris
Mario Giulianelli, University of Amsterdam
Gabriel Grand, MIT
Dieuwke Hupkes, META
Anna Ivanova, MIT
Jordan Kodner, Stony Brook University
Andrew Lampinen, DeepMind
Roger Levy, MIT
Tal Linzen, New York University (NYU)
Veronica Qing Lyu, University of Pennsylvania
Barbara Plank, LMU Munich
Christopher Potts, Stanford University
Okko Räsänen, Tampere University
Anna Rogers, IT University of Copenhagen
Thomas Schatz, Aix-Marseille University
Sebastian Schuster, Saarland University
João Sedoc, New York University (NYU)
Cory Shain, Stanford University
Jörg Tiedemann, University of Helsinki
Sean Trott, University of California, San Diego
Ivan Vuliç, University of Cambridge

Computational Linguistics is the longest-running flagship journal of the Association for Computational Linguistics. The journal has a high impact factor: 9.3 in 2022 and 7.778 in 2021. Average time to first decision of regular papers and full survey papers (excluding desk rejects) is 34 days for the period January to May 2023, and 47 days for the period January to December 2022.

1st CFP: Call for Workshop Proposals for LREC-COLING 2024

Abbreviated Title: 
Call for Workshop Proposals for LREC-COLING 2024
ACL-Sponsored Event: 
No
Event Notification Type: 
Call for Proposals
Location: 
Lingotto Conference Center
Event Dates: 
Monday, 20 May 2024 to Saturday, 25 May 2024
Submission Deadline: 
Friday, 13 October 2023
Contact: 
Nicoletta Calzolari
Min-Yen Kan
Chu-Ren Huang
Joseph Mariani
Amir Zeldes
Annemarie Friedrich
Nguyen Thi Minh Huyen
Yunfei Long
Contact Email: 
glottolo [at] ilc.cnr.it
kanmy [at] comp.nus.edu.sg
churenhuang [at] gmail.com
Joseph.Mariani [at] limsi.fr
Amir.Zeldes [at] georgetown.edu
annemarie.friedrich [at] uni-a.de
huyenntm [at] hus.edu.vn
yl20051 [at] essex.ac.uk
City: 
Torino (Turin)
Country: 
Italia (Italy)
Description/Details: 

The Organizers of LREC-COLING 2024 invite proposals for workshops to be held in conjunction with the joint conference in Lingotto Conference Centre – Turin (Italy). We solicit proposals in all areas of computational linguistics, language resources and evaluation, broadly conceived to include related disciplines such as linguistics, language documentation, natural language processing, speech and multimodal processing, computational social science and the digital humanities.

IMPORTANT DATES

13 October 2023: Proposal submission due
17 November 2023: Notification of acceptance
20–25 May 2024: LREC-COLING2024 conference

SUBMISSION INFORMATION

Proposals should be submitted as PDF documents. Note that submissions should essentially be ready to be turned into a Call for Workshop Papers within one week of notification (see Timelines above).

The proposals should be at most two pages for the main proposal + at most two additional pages for information about organizers, program committee, and references. Thus the whole proposal should not be more than FOUR pages long, excluding references.

The two pages for the main proposal must include:

- A title and a brief description of the workshop topic and content.
- A list of invited speakers, if applicable, with an indication of which ones have already agreed and which are tentative, and sources of funding for the speakers, if needed.
- An estimate of the number of attendees.
- A description of any shared tasks associated with the workshop, and estimate of the number of participants. Note that any shared task will also need to be reviewed by the workshop committee for ethical concerns.
- A description of special requirements and technical needs, where relevant.
If the workshop has been held before, a note specifying where previous iterations of the workshops were held, how many submissions the workshop received, how many papers were accepted (also specify if they were not regular papers, e.g. shared task system description papers, non-archival papers), and how many attendees the workshop attracted.

The two pages for information about organizers, program committee, and references must include:

- The names, affiliations, and email addresses of the organizers, with one-paragraph statements of their research interests, areas of expertise, and experience in organizing workshops and related events.
- A list of Program Committee members, with an indication of which members have already agreed. Organizers should do their best to estimate the number of submissions (especially for recurring workshops) in order to (a) ensure a sufficient number of reviewers so that each paper receives 3 reviews, and (b) anticipate that no one is committed to reviewing more than 3 papers. This practice is likely to ensure on-time, and more thorough and thoughtful reviews.
- A very brief advertisement or tagline for the workshop, up to 140 characters, that highlights any key information you wish prospective attendees to know, and which would be suitable to be put onto a web-based survey (see below).
- Unlimited space for references

The proposals should be submitted no later than October 13, 2023, 11:59 PM Samoa Standard Time (SST) (UTC/GMT-11, ‘Anywhere on Earth’).

Submission is electronic. Please submit the proposals using the START system at this URL:

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

The workshop proposals will be evaluated according to their originality and impact, the expected interest level of participants, as well as the quality of the organizing team and Program Committee and their contribution to the diversity of the conference.

DIVERSITY AND INCLUSION

We particularly encourage submissions of underrepresented groups in computational linguistics, language resource and evaluation, including researchers from any demographic or geographic

minority, with disabilities, or others. In the evaluation of the proposal, we will take these aspects into account to create a varied and balanced set of tutorials.

This includes several aspects of diversity, namely (1) how the topic of the tutorial contributes to improved diversity and increased fairness in the field, (2) if the topic is particularly relevant for a specific underrepresented group of potential participants, (3), if the presenters are from an underrepresented group.

WORKSHOP ORGANIZER RESPONSIBILITIES

The organizers of the accepted proposals will be responsible for publicizing and running the workshop, including reviewing submissions, producing the camera-ready workshop proceedings, organizing the meeting days, and playing their part to ensure that all participants are aware of LREC/COLING’s anti-harassment policy (see https://coling2022.org/policy). It is crucial that organizers commit to all deadlines. In particular, failure to produce the camera-ready proceedings on time will lead to the exclusion of the workshop from the unified proceedings and author indexes. Workshop organizers cannot accept submissions for publication that will be (or have been) published elsewhere, although they are free to set their own policies on simultaneous submission and review, as well as to accept additional non-archival presentations.

2nd Call for Papers: LREC-COLING 2024

Abbreviated Title: 
2nd CFP: LREC-COLING '24
ACL-Sponsored Event: 
No
Event Notification Type: 
Call for Papers
Location: 
Lingotto Conference Center
Event Dates: 
Monday, 20 May 2024 to Saturday, 25 May 2024
Submission Deadline: 
Friday, 13 October 2023
Contact: 
Nicoletta Calzolari
Min-Yen Kan
Chu-Ren Huang
Joseph Mariani
Veronique Hoste
Alessandro Lenci
Sakriani Sakti
Nianwen Xue
Contact Email: 
glottolo [at] ilc.cnr.it
kanmy [at] comp.nus.edu.sg
churenhuang [at] gmail.com
Joseph.Mariani [at] limsi.fr
veronique.hoste [at] ugent.be
alessandro.lenci [at] unipi.it
ssakti [at] jaist.ac.jp
xuen [at] brandeis.edu
City: 
Torino (Turin)
Country: 
Italia (Italy)
Description/Details: 

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.

(UPDATE: Great news for LREC-COLING 2024! Both conferences moved up several positions in the CL rank of Google Scholar (https://scholar.google.com/citations?view_op=top_venues&hl=en&vq=eng_com...) - COLING is now 5th and LREC is 6th!)

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:

- Regular long papers – up to eight (8) pages maximum*, presenting substantial, original, completed, and unpublished work.
- Short papers – up to four (4) pages*, describing a small focused contribution, negative results, system demonstrations, etc.
- 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 or Anonym Share). 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.

IJCNLP-AACL Student Research Workshop (SRW) 2023 Call for Paper / Pre-submission

Abbreviated Title: 
AACL SRW Call for Paper / pre-submission
ACL-Sponsored Event: 
This is an ACL Sponsored Event
Event Notification Type: 
Call for Papers
Event Dates: 
Wednesday, 1 November 2023
Submission Deadline: 
Friday, 1 September 2023
Contact: 
Student Organizers
Dongfang Li
Rahmad Mahendra
Zilu Peter Tang
Contact Email: 
aacl-srw-2023 [at] googlegroups.com
crazyofapple [at] gmail.com
rahmad.mahendra [at] student.rmit.edu.au
zilutang [at] bu.edu
City: 
Bali
Country: 
Indonesia
Description/Details: 

The IJCNLP-AACL 2023 Student Research Workshop (SRW) will be held in conjunction with IJCNLP-AACL 2023 conference in Bali, Indonesia on Nov 1st, 2023. The SRW gives student researchers in computational linguistics and natural language processing the opportunity to present their work and receive constructive feedback and mentorship by experienced members of the ACL community.

If you submit your draft by Aug 4th, we will match you with one of the mentors, who can provide you with feedbacks on how to improve your paper for the final submission (Sep 1st).

Event website:
https://aacl2023-srw.github.io/

important dates:

Pre-submission mentorship application deadline: Aug 4 (Fri), 2023
Pre-submission feedback: Aug 18 (Fri), 2023
Paper submission deadline: Sep 1 (Fri), 2023
Acceptance notifications: Oct 2 (Mon), 2023
Camera-ready deadline: Oct 15 (Sun), 2023
Workshop date: Nov 1 (Wed), 2023
All deadlines are 11:59PM UTC-12:00 (“anywhere on Earth”).

Submissions should be made on the START conference system: https://softconf.com/ijcnlp2023/SRW2023/

We invite papers in three different categories

- General Research Paper: this category follows the list of topics of the main conference (See our website for detail)
- Thesis Proposals: This category is appropriate for advanced students who have decided on a thesis topic and wish to get feedback on their proposal and broader ideas for their continuing work.
- Special theme: Understanding large language models.

For latest information and more updates, please refer to our website:
https://aacl2023-srw.github.io/

For additional questions, contact us at aacl-srw-2023 [at] googlegroups.com

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