About us

The International Workshop on Structures to Stories: Multilingual NLP for Semantic Structured Data (IWSS) brings together researchers and practitioners advancing multilingual methods to extract structured representations from text and generate faithful answers, verbalisations, explanations, and narratives grounded in structured evidence. IWSS emphasises robust extraction, data-grounded generation, and realistic multilingual evaluation, with particular interest in under-represented languages, long-tail entities, and culturally specific concepts.

Important Dates

Fri, Jul 24, 2026
Submission deadline

Call For Paper

Knowledge Graphs
Semantic web
Data to text
Text to data
Multilingual data-to-text
Text-to-data
Cross-lingual schema/ontology alignment and lexicalisation
Faithfulness/robustness for structured data NLP/NLG
Low-resource benchmarks, datasets, and evaluation for structured data
Limitations of current metrics in evaluating NLG outputs
Analysis of biases introduced in data-to-text and debiasing solutions
Data-to-text solutions for data sources containing long-tail entities

We invite full and short papers, position and negative-result papers, datasets, system demos, and resource papers. Topics include faithful multilingual verbalisation and summarisation, entity extraction and linking, schema/ontology alignment, and low-resource benchmarks and evaluation, among others.

Committee

Organizing Committee

Virginia RamĂłn-Ferrer

Universidad Politécnica de Madrid

Lia Draetta

University of Turin

Michael Oliverio

University of Turin

Rossana Damiano

University of Turin

Carlos Badenes-Olmedo

Universidad Politécnica de Madrid