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INLG 2024 : 17th International Conference on Natural Language Generation INLG 2024

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Conference Series : International Conference on Natural Language Generation
 
Link: https://inlg2024.github.io
 
When Sep 23, 2024 - Sep 27, 2024
Where Tokyo, Japan
Submission Deadline May 31, 2024
Notification Due Jul 15, 2024
Final Version Due Aug 16, 2024
 

Call For Papers

*First Call For papers: 17th International Natural Language Generation Conference INLG 2024*


We invite the submission of long and short papers, as well as system demonstrations, related to all aspects of Natural Language Generation (NLG), including data-to-text, concept-to-text, text-to-text and vision-to-text approaches. Accepted papers will be presented as oral talks or posters.

The event is organized under the auspices of the Special Interest Group on Natural Language Generation (SIGGEN) (https://aclweb.org/aclwiki/SIGGEN) of the Association for Computational Linguistics (ACL) (https://aclweb.org/). The event will be held from 23-27 September in Tokyo, Japan. INLG 2024 will be taking place after SIGDial 2024 (18-20 September) nearby in Kyoto.



**Important dates**


All deadlines are Anywhere on Earth (UTC-12)

• START system regular paper submission deadline: May 31, 2024

• ARR commitment to INLG deadline via START system: June 24, 2024

• START system demo paper submission deadline: June 24, 2024

• Notification: July 15, 2024

• Camera ready: August 16, 2024

• Conference: 23-27 September 2024



**Topics**


INLG 2024 solicits papers on any topic related to NLG. General topics of interest include, but are not limited to:

• Large Language Models (LLMs) for NLG

• Affect/emotion generation

• Analysis and detection of automatically generated text

• Bias and fairness in NLG systems

• Cognitive modelling of language production

• Computational efficiency of NLG models

• Content and text planning

• Corpora and resources for NLG

• Ethical considerations of NLG

• Evaluation and error analysis of NLG systems

• Explainability and Trustworthiness of NLG systems

• Generalizability of NLG systems

• Grounded language generation

• Lexicalisation

• Multimedia and multimodality in generation

• Natural language understanding techniques for NLG

• NLG and accessibility

• NLG in speech synthesis and spoken language models

• NLG in dialogue

• NLG for human-robot interaction

• NLG for low-resourced languages

• NLG for real-world applications

• Paraphrasing, summarization and translation

• Personalisation and variation in text

• Referring expression generation

• Storytelling and narrative generation

• Surface realization

• System architectures



**Submissions & Format**


Three kinds of papers can be submitted:

• Long papers are most appropriate for presenting substantial research results and must not exceed eight (8) pages of content, plus unlimited pages of ethical considerations, supplementary material statements, and references. The supplementary material statement provides detailed descriptions to support the reproduction of the results presented in the paper (see below for details). The final versions of long papers will be given one additional page of content (up to 9 pages) so that reviewers' comments can be taken into account.

• Short papers are more appropriate for presenting an ongoing research effort and must not exceed four (4) pages, plus unlimited pages of ethical considerations, supplementary material statements, and references. The final versions of short papers will be given one additional page of content (up to 5 pages) so that reviewers' comments can be taken into account.

• Demo papers should be no more than two (2) pages, including references, and should describe implemented systems relevant to the NLG community. It also should include a link to a short screencast of the working software. In addition, authors of demo papers must be willing to present a demo of their system during INLG 2024.


Submissions should follow ACL Author Guidelines (https://www.aclweb.org/adminwiki/index.php?title=ACL_Author_Guidelines) and policies for submission, review and citation, and be anonymised for double blind reviewing. Please use ACL 2023 style files; LaTeX style files and Microsoft Word templates are available at: https://acl-org.github.io/ACLPUB/formatting.html


Authors must honor the ethical code set out in the ACL Code of Ethics (https://www.aclweb.org/portal/content/acl-code-ethics). If your work raises any ethical issues, you should include an explicit discussion of those issues. This will also be taken into account in the review process. You may find the following checklist of use: https://aclrollingreview.org/responsibleNLPresearch/


Authors are strongly encouraged to ensure that their work is reproducible; see, e.g., the following reproducibility checklist (https://2021.aclweb.org/calls/reproducibility-checklist/). Papers involving any kind of experimental results (human judgments, system outputs, etc) should incorporate a data availability statement into their paper. Authors are asked to indicate whether the data is made publicly available. If the data is not made available, authors should provide a brief explanation why. (E.g. because the data contains proprietary information.) A statement guide is available on the INLG 2024 website: https://inlg2024.github.io/


To submit a long or short paper to INLG 2024, authors can either submit directly or commit a paper previously reviewed by ARR via the same paper submission site (https://softconf.com/n/inlg2024/). For direct submissions, the deadline for submitting papers is May 31, 2024, 11:59:59 AOE. If committing an ARR paper to INLG, the submission is also made through the INLG 2024 paper submission site, indicating the link of the paper on OpenReview. The deadline for committing an ARR paper to INLG is June 24, 2024, 11:59:59 AOE, and the last eligible ARR paper submission deadline for INLG 2024 is May 24, 2024. It is important to note that when committing an ARR paper to INLG, it should be submitted through the INLG 2024 paper submission site, just like a direct submission paper, with the only difference being the need to provide the OpenReview link to the paper and to provide an optional author response to reviews.


Demo papers should be submitted directly through the INLG 2024 paper submission site (https://softconf.com/n/inlg2024/) by June 24, 2024, 11:59:59 AOE.


All accepted papers will be published in the INLG 2024 proceedings and included in the ACL anthology. A paper accepted for presentation at INLG 2024 must not have been presented at any other meeting with publicly available proceedings. Dual submission to other conferences is permitted, provided that authors clearly indicate this in the submission form. If the paper is accepted at both venues, the authors will need to choose which venue to present at, since they can not present the same paper twice.


Finally, at least one of the authors of an accepted paper must register to attend the conference.



**Awards**


INLG 2024 will present several awards to recognize outstanding achievements in the field. These awards are:

• Best Long Paper Award: This award will be given to the best long paper submission based on its originality, impact, and contribution to the field of NLG.

• Best Short Paper Award: This award will be given to the best short paper submission based on its originality, impact, and contribution to the field of NLG.

• Best Demo Paper Award: This award will recognize the best demo paper submitted to the conference. This award considers not only the paper's quality but also the demonstration given at the conference. The demonstration will play a significant role in the judging process.

• Best Evaluation Award: The award is a new addition to INLG 2024. This award is designed to honor authors who have demonstrated the most comprehensive and insightful analysis in evaluating their results. This award aims to highlight papers where the authors have gone the extra mile in providing a thorough and detailed analysis of their results, offering a nuanced understanding of their findings.

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