37.1729, Confs: 19th International Natural Language Generation Conference (Netherlands)

[The LINGUIST List]

LINGUIST List: Vol-37-1729. Tue May 12 2026. ISSN: 1069 - 4875.

Subject: 37.1729, Confs: 19th International Natural Language Generation Conference (Netherlands)

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Date: 08-May-2026
From: Emiel van Miltenburg [c.w.j.vanmiltenburg at tilburguniversity.edu]
Subject: 19th International Natural Language Generation Conference


19th International Natural Language Generation Conference
Short Title: INLG

Date: 17-Oct-2026 - 21-Oct-2026
Location: Utrecht, Netherlands
Meeting URL: https://2026.inlgmeeting.org/organizers.html

Linguistic Field(s): Applied Linguistics; Computational Linguistics;
General Linguistics; Psycholinguistics; Text/Corpus Linguistics

Submission Deadline: 15-Jul-2026

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) of the Association for
Computational Linguistics (ACL). The event will be held from October
17 to October 21, 2026. INLG 2026 will be hosted by Utrecht University
in Utrecht, the Netherlands. The conference will be taking place
before EMNLP (in Budapest, Hungary, from October 24th to October 29th,
2026)
Important Dates:
All deadlines are Anywhere on Earth (UTC-12)
- Regular paper submission deadline: July 15, 2026.
- System demo paper submission deadline: July 15, 2026.
- ARR commitment to INLG deadline: August 5, 2026.
- Notification: August 15, 2026
- Non-archival submission deadline: August 22, 2026.
- Camera ready: September 7, 2026
- Conference: October 17 - October 21, 2026
Topics:
INLG 2026 solicits papers on any topic related to NLG. General topics
of interest include, but are not limited to:
- Large Language Models (LLMs) for NLG
- Evaluation and error analysis of NLG systems
- Explainability in and Trustworthiness of NLG systems
- Generalizability of NLG systems
- Bias and fairness in NLG systems
- Reasoning models for NLG
- Affect/emotion generation
- Analysis and detection of automatically generated text
- Cognitive modeling of language production
- Computational efficiency of NLG models
- Corpora and resources for NLG
- Ethical considerations of NLG
- Multimedia, multimodality and grounding in generation
- NLG and accessibility
- NLG in speech synthesis and spoken language models
- NLG in dialogue systems and chatbots
- NLG for human-robot interaction
- NLG for low-resourced languages
- NLG for real-world applications
- Paraphrasing, summarization and translation
- Personalisation and variation in text
- Storytelling and narrative generation
- Sub-tasks of the classic NLG pipeline
- NLG architectures
Submissions:
This year’s INLG will have two tracks: an archival track where papers
will be published in the ACL Anthology, and a non-archival track for
works in progress and papers published elsewhere. Three kinds of
papers can be submitted for the archival track:
1. 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.
2. 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.
3. 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 2026.
Next to the standard paper types (surveys, experiments, resource
papers, position papers), we also welcome squibs: papers that present
an empirical or theoretical issue without necessarily providing a
solution. (See here for more discussion.)
Through the non-archival track, we hope to foster more discussion on
current trends in NLG, and to offer a space for researchers to obtain
feedback on their current projects. For this track, we welcome two
kinds of submissions:
1. Papers published elsewhere. These may be published either in a
journal or at another conference, and should be relevant to the INLG
audience.
2. Work in progress. These may be papers about completed work that has
not yet been published or preliminary results that merit discussion at
the conference. Submissions should consist of a title and a short
abstract (max. 300 words).
Submissions for the non-archival track will undergo a light review
process (assessing the relevance of the submission for INLG), and
accepted works will be presented as posters.
Format:
Submissions should follow ACL Author Guidelines and policies for
submission, review and citation, and be anonymised for double blind
reviewing. Please use ACL 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.
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 this checklist of use.
Authors are strongly encouraged to ensure that their work is
reproducible; see, e.g., the following 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 2026 website.
To submit a long or short paper to INLG 2026, authors can either
submit directly or commit a paper previously reviewed by ARR. For
direct submissions, the deadline for submitting papers is July 15,
2026, 11:59:59 PM (Anywhere on Earth). If committing an ARR paper to
INLG, the submission is also made through the INLG 2026 paper
submission site, indicating the link of the paper on OpenReview. The
deadline for committing an ARR paper to INLG is August 5, 2026,
11:59:59 PM AOE, and the last eligible ARR paper submission deadline
for INLG 2026 is May 25, 2026.
Demo papers should be submitted directly through the INLG 2026 paper
submission site by July 15, 2026, 11:59:59 PM AOE.
All accepted papers will be published in the INLG 2026 proceedings and
included in the ACL anthology. A paper accepted for presentation at
INLG 2026 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. Submitted papers for review at INLG 2026
must not be published elsewhere until after the notification of
acceptance. Finally, at least one of the authors of an accepted paper
must register to attend the conference.
Awards:
INLG 2026 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 was introduced at INLG 2024. This
award is designed to honour 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.
Communication Channels:
Website: https://2026.inlgmeeting.org/
Bluesky: https://bsky.app/profile/siggen.bsky.social
LinkedIn: https://www.linkedin.com/company/siggen/
Mastodon: https://fediscience.org/@siggen_acl
X (formerly Twitter): twitter.com/inlgmeeting



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