Full Title: 17th International Conference on Natural Language Generation INLG 2024
Short Title: INLG

Date: 23-Sep-2024 - 27-Apr-2024
Location: Tokyo, Japan
Contact Person: Saad Mahamood
Meeting Email: [email protected]
Web Site: https://inlg2024.github.io

Linguistic Field(s): Computational Linguistics

Call Deadline: 31-May-2024

Meeting Description:

The INLG venue provides a regular forum for the presentation of cutting edge research in Natural Language Generation to both academic and industry researchers. The conference is organized under the auspices of the Special Interest Group on Natural Language Generation (SIGGEN) of the Association for Computational Linguistics (ACL). The event will be held from 23-27 September in Tokyo, Japan.

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*

**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*

IINLG 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.

For the full call for papers visit the website:
https://inlg2024.github.io/calls.html