[CFP,〆切4/30]the 6th workshop of Natural Language Meets Logic and Machine Learning (NALOMA), August 3-August 7

[hitomi yanaka]

linguistics-jpの皆様，

東京大学の谷中です．
複数のメールを受け取られた場合はご容赦ください．

2026年8月3日-8月14日にPrague, Czech Republicで開催されるESSLLI2026: https://2026.esslli.eu にて，機械学習と論理の融合による自然言語理解の研究に関する国際ワークショップNatural Language Meets Logic and Machine Learning (NALOMA): https://naloma.github.io を開催予定です（ワークショップは1週目の8月3日-8月7日に行われます）．
論文はextended abstract, demo paper他最大8ページを受け付け，採録された論文はACL anthologyに収録されます．
論文投稿〆切は4月30日(AoE)です．今年は新たにsystem demonstration trackを設けております．Neuro-Symbolic AI，LLM interpretabilityなど多様なトピックが対象となりますので，皆様のご投稿とご参加をお待ちしております．

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Call for Papers – the 6th workshop of Natural Language Meets Logic and Machine Learning (NALOMA)

The NALOMA workshop invites submissions on any (theoretical or computational) aspect of hybrid methods concerning Natural Language Understanding and Reasoning (NLU&R). The topics include but are not limited to:
- Hybrid NLU&R systems that integrate logic-based/symbolic methods with neural networks
- Explainable NLU&R (with structured explanations)
- Opening the black-box of deep learning in NLU&R
- Downstream applications of hybrid NLU&R systems
- Probabilistic semantics for NLU&R
- Comparison and contrast between symbolic and deep learning work on NLU&R
- Creation, criticism, refinement, and augmentation of NLU&R datasets
- (Dis)Alignment of humans and machines on NLU&R tasks
- Addressing inherent human disagreements in NLU&R tasks
- Generalization of NLU&R systems
- Fine-grained evaluation of NLU&R systems

We invite three types of submissions:
- Archival (long or short) papers should report on complete, original and unpublished research. Accepted papers will be published in the workshop proceedings and appear in the ACL anthology. Short and long papers may consist of up to 4 and 8 pages of content, respectively, plus unlimited references. Camera-ready versions of papers will be given one additional page of content so that reviewers' comments can be taken into account.

- (New) Archival demo papers should present a ready-to-use open-source system, include detailed usage instructions, and report its performance results. Authors should provide a ready-to-run environment or interface, such as a Jupyter/Colab notebook, Docker image, or API endpoint. This submission type is intended to facilitate broader access to (neuro)symbolic systems/pipelines, which are often nontrivial to install and run. The demo paper should not significantly (<25%) overlap with existing work and may consist of up to 6 pages, plus unlimited references.

- Extended abstracts may report on work in progress or work that was recently published/accepted at a different venue. Extended abstracts will not be included in the workshop proceedings. Thus, the unpublished work will retain its status and can be submitted to another venue. This webpage will link to the accepted extended abstracts. The extended abstracts should not contain an abstract section and may consist of up to 2 pages of content, plus unlimited references.

Both accepted papers and extended abstracts are expected to be presented at the workshop. Extended abstracts will be presented as talks or posters at the discretion of the program committee.

Submissions will be double-blind reviewed, and all long/short papers and extended abstracts must be anonymous, i.e. not reveal author(s) on the title page or through self-references. Both extended abstracts and papers must be formatted according to the ACL style-files or the ACL Overleaf template. All submissions must adhere to the ARR guidelines about Anonymized Review, Authorship, Citation and Comparison, and Ethics Policy (without requiring completion of the responsible NLP research checklist).
The workshop participants must register for ESSLLI 2026.

Important Dates (All dates are AoE)
Deadline for papers & extended abstracts: 30 April
Notification: 27 May
ESSLLI registration dates: 31 May (early)
Camera-ready due: 20 June
Workshop: 3-7 August

Program Committees
Lasha Abzianidze (co-chair), Utrecht University
Hitomi Yanaka (co-chair), University of Tokyo and Riken
Thomas Icard, Stanford University
Aikaterini-Lida Kalouli, Bundesdruckerei GmbH
Stergios Chatzikyriakidis, University of Crete
Hai Hu, Shanghai Jiao Tong University
Katrin Erk, University of Texas at Austin
Valeria de Paiva, Topos Institute
Lawrence S. Moss, Indiana University

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谷中　瞳　　Hitomi YANAKA, Ph.D.
Associate Professor
Department of Computer Science

Graduate School of Information Science and Technology
The University of Tokyo
Tel: +81-3-5841-4097
Email: hya...@is.s.u-tokyo.ac.jp