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    <abstract>We present AURIS, the Augsburg corpus for Reference and Information Structure, a multilingual corpus annotated for reference, discourse relations, and aspects of information structure. AURIS introduces an innovative use of off-the-shelf spreadsheet software for complex annotation tasks, reducing technical barriers and dependencies common in discourse annotation. Designed for classroom use, it enables linguistics and philology students to explore diverse theoretical frameworks while working in their language of choice. The paper focuses on technical design and workflows that integrate and generate pre-annotations from heterogeneous sources. Despite its low-tech approach, AURIS aligns with established standards and remains interoperable with existing projects. Preprocessing scripts support multiple languages, with an initial annotation round on German texts evaluated against TED-MDB and ParCorFull data converted into AURIS formats. This approach demonstrates that accessible tools can yield high-quality, replicable annotations for discourse and information-structure research.</abstract>
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%0 Conference Proceedings
%T Building the AURIS Corpus of Reference and Information Structure
%A Chiarcos, Christian
%A Fäth, Christian
%A Gröger, Tabea
%A Frey, Quentin Alastair
%Y Piperidis, Stelios
%Y Bel, Núria
%Y van den Heuvel, Henk
%Y Ide, Nancy
%Y Krek, Simon
%Y Toral, Antonio
%S Proceedings of the Fifteenth Language Resources and Evaluation Conference
%D 2026
%8 May
%I ELRA Language Resource Association
%C Palma de Mallorca, Spain
%F chiarcos-etal-2026-building
%X We present AURIS, the Augsburg corpus for Reference and Information Structure, a multilingual corpus annotated for reference, discourse relations, and aspects of information structure. AURIS introduces an innovative use of off-the-shelf spreadsheet software for complex annotation tasks, reducing technical barriers and dependencies common in discourse annotation. Designed for classroom use, it enables linguistics and philology students to explore diverse theoretical frameworks while working in their language of choice. The paper focuses on technical design and workflows that integrate and generate pre-annotations from heterogeneous sources. Despite its low-tech approach, AURIS aligns with established standards and remains interoperable with existing projects. Preprocessing scripts support multiple languages, with an initial annotation round on German texts evaluated against TED-MDB and ParCorFull data converted into AURIS formats. This approach demonstrates that accessible tools can yield high-quality, replicable annotations for discourse and information-structure research.
%R 10.63317/4gixthhaqsbs
%U https://aclanthology.org/2026.lrec-1.160/
%U https://doi.org/10.63317/4gixthhaqsbs
%P 2035-2047

Markdown (Informal)

[Building the AURIS Corpus of Reference and Information Structure](https://aclanthology.org/2026.lrec-1.160/) (Chiarcos et al., LREC 2026)

• Building the AURIS Corpus of Reference and Information Structure (Chiarcos et al., LREC 2026)

ACL

• Christian Chiarcos, Christian Fäth, Tabea Gröger, and Quentin Alastair Frey. 2026. Building the AURIS Corpus of Reference and Information Structure. In Proceedings of the Fifteenth Language Resources and Evaluation Conference, pages 2035–2047, Palma de Mallorca, Spain. ELRA Language Resource Association.