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

Paper Submission

Research Paper Submission Tracks

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

Call for Papers Description

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.