DeTermIt! 2026

About the Workshop

In today’s interconnected world, it is crucial to ensure that knowledge is accessible to diverse audiences, regardless of language proficiency and domain expertise. Automatic Text Simplification (ATS) and text difficulty assessment are central to this goal, especially in the age of Large Language Models (LLMs) and Generative AI (GenAI), which increasingly mediate access to information.

The second edition of the DeTermIt! workshop focuses on the evaluation and modeling of text difficulty in multilingual, terminology-rich contexts, with a particular emphasis on the interaction between:

• text simplification,
• terminology and conceptual complexity, and
• LLM/GenAI-based generation and rewriting.

The 2026 edition builds on the first DeTermIt! workshop held at LREC-COLING 2024 (https://determit2024.dei.unipd.it/), as well as related initiatives such as the CLEF SimpleText track (https://simpletext-project.com/), which provides reusable data and benchmarks for scientific text summarization and simplification. DeTermIt! 2026 aims to bring together researchers and practitioners interested in terminology-aware simplification, lexical and conceptual difficulty, and evaluation protocols for GenAI systems.

Call for Papers

We welcome contributions that address theoretical, methodological, and applied aspects of text difficulty, including resource creation and evaluation (e.g., corpora, datasets, and benchmarks), with a focus on how linguistic complexity, specialized terminology, and domain knowledge interact with human understanding. In particular, we encourage work that explores how LLMs and GenAI can be evaluated, constrained, or guided to produce readable, faithful, and accessible texts.

As for the main conference, authors will be asked to document the language resources (data, tools, standards, evaluation sets) used or created in their work, in line with LREC’s long-standing commitment to resource sharing and reproducibility. Details about the submission platform and formatting requirements will follow the official LREC 2026 guidelines and will be announced on this website in due time.

Paper Types

• Long papers – up to 8 pages of content, presenting substantial and original work.
• Short papers – up to 4 pages, for focused contributions, datasets, tools, or negative results.
• Position papers – up to 8 pages, discussing open challenges, methodological issues, or cross-disciplinary perspectives.

All accepted papers will be presented at the workshop and included in the official LREC 2026 workshop proceedings.

Topics of Interest

We invite submissions on (but not limited to) the following themes:

1. Theoretical and Modeling Perspectives

• Cognitive and linguistic models of text and lexical complexity.
• Multilingual readability assessment and text difficulty prediction.
• Modeling conceptual difficulty and domain-specific terminology.
• Theoretical links between lexicography, terminology, and text simplification.

2. Terminology and Conceptual Complexity

• Identification and classification of specialized terms and concepts.
• Estimation of term difficulty for lay readers and second language learners.
• Use of terminological databases, ontologies, and knowledge graphs in simplification pipelines.
• Methods for adapting domain-specific terminology for accessible communication in areas such as medicine, law, and technology.

3. Generative and Explainable AI for Text Simplification

• LLM- and generative AI-based approaches to text simplification and paraphrasing.
• Terminology-Augmented Generation (TAG) and term-preserving simplification methods.
• Evaluation of generative outputs, including readability, factuality, terminology fidelity, and hallucination analysis.
• Readability-controlled and difficulty-controlled generation; controllable simplification models.
• Human-centered and explainable approaches to text accessibility in GenAI systems.

4. Resources, Benchmarks, and Evaluation Frameworks

• Corpora, annotation schemes, and benchmarks for text difficulty estimation and simplification.
• Datasets and methods for evaluating terminology-aware simplification and explanation.
• FAIR and reusable resources supporting multilingual text accessibility.
• Evaluation protocols and metrics for cross-lingual and cross-domain simplification and GenAI-based rewriting.

5. Applications and Case Studies

• Domain-specific simplification in areas such as healthcare, law, and scientific communication.
• Tools and systems for educational contexts, language learning, and accessible communication.
• User studies, human evaluation designs, and mixed-methods approaches to assessing text difficulty and GenAI-assisted simplification.
• Industrial and real-world experiences integrating automatic text simplification and terminology into LLM-based workflows.

Important Dates

Organization

Workshop Chairs

Scientific Committee

• Florian Boudin – Nantes University, France
• Lynne Bowker – Université Laval, Canada
• Sara Carvalho – Universidade de Aveiro, Portugal
• Rute Costa – Universidade NOVA de Lisboa, Portugal
• Eric Gaussier – University Grenoble Alpes, France
• Natalia Grabar – CNRS, France
• Ana Ostroški Anić – Institute for the Croatian Language and, Croatia
• Tatiana Passali – Aristotle University of Thessaloniki, Greece
• Grigorios Tsoumakas – Aristotle University of Thessaloniki, Greece
• Sara Vecchiato – University of Udine, Italy
• Cornelia Wermuth – KU Leuven, Belgium

Venue

DeTermIt! 2026 will be held in conjunction with the 15th International Conference on Language Resources and Evaluation (LREC 2026) at the Palau de Congressos de Palma in Palma de Mallorca, Spain. The workshop will be organised as part of the official LREC workshop programme.

For information on registration, accommodation, and travel, please refer to the main conference website: https://lrec2026.info/.

Contact

For any questions regarding the workshop, please contact the organizers at:
giorgiomaria.dinunzio@unipd.it.