@inproceedings{maguire-etal-2026-mad,
title = "{MAD}: A Corpus of Multilingual Argumentative Deliberation",
author = "Maguire, Eimear and
Schad, Ella and
Visser, Jacky and
Reed, Chris and
Lawrence, John",
editor = "Piperidis, Stelios and
Bel, N{\'u}ria and
van den Heuvel, Henk and
Ide, Nancy and
Krek, Simon and
Toral, Antonio",
booktitle = "Proceedings of the Fifteenth Language Resources and Evaluation Conference",
month = may,
year = "2026",
address = "Palma de Mallorca, Spain",
publisher = "ELRA Language Resource Association",
url = "https://aclanthology.org/2026.lrec-1.554/",
doi = "10.63317/3z4jk3uj7pfe",
pages = "6962--6978",
abstract = "We present a corpus of Multilingual Argumentative Deliberation (MAD), a manually annotated corpus of deliberative dialogues in English, German, Polish and Italian. Four groups each completed two variants of a ranking task, the NASA Survival Scenario; once in their native language and once in English. The corpus is annotated using Inference Anchoring Theory (IAT), a framework developed for analysing argument in dialogical settings, and widely used in argument mining. As an argument mining resource, MAD is distinct in offering equivalent instances of spontaneous argumentation across languages. In addition to use in argument mining, the annotation captures both argument relations and dialogue acts, enabling deeper analysis of argument and dialogue structure than typical of argument-only corpora. The design of the corpus enables studies of second-language effects in English-medium interaction, cross-linguistic argument comparisons for German, Polish and Italian, and speaker dialogue strategy consistency, amongst others. The primary annotated MAD corpus is freely available at \url{https://corpora.aifdb.org/mad}, while we additionally release the unannotated transcripts to facilitate repurposing of the material."
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<abstract>We present a corpus of Multilingual Argumentative Deliberation (MAD), a manually annotated corpus of deliberative dialogues in English, German, Polish and Italian. Four groups each completed two variants of a ranking task, the NASA Survival Scenario; once in their native language and once in English. The corpus is annotated using Inference Anchoring Theory (IAT), a framework developed for analysing argument in dialogical settings, and widely used in argument mining. As an argument mining resource, MAD is distinct in offering equivalent instances of spontaneous argumentation across languages. In addition to use in argument mining, the annotation captures both argument relations and dialogue acts, enabling deeper analysis of argument and dialogue structure than typical of argument-only corpora. The design of the corpus enables studies of second-language effects in English-medium interaction, cross-linguistic argument comparisons for German, Polish and Italian, and speaker dialogue strategy consistency, amongst others. The primary annotated MAD corpus is freely available at https://corpora.aifdb.org/mad, while we additionally release the unannotated transcripts to facilitate repurposing of the material.</abstract>
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%0 Conference Proceedings
%T MAD: A Corpus of Multilingual Argumentative Deliberation
%A Maguire, Eimear
%A Schad, Ella
%A Visser, Jacky
%A Reed, Chris
%A Lawrence, John
%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 maguire-etal-2026-mad
%X We present a corpus of Multilingual Argumentative Deliberation (MAD), a manually annotated corpus of deliberative dialogues in English, German, Polish and Italian. Four groups each completed two variants of a ranking task, the NASA Survival Scenario; once in their native language and once in English. The corpus is annotated using Inference Anchoring Theory (IAT), a framework developed for analysing argument in dialogical settings, and widely used in argument mining. As an argument mining resource, MAD is distinct in offering equivalent instances of spontaneous argumentation across languages. In addition to use in argument mining, the annotation captures both argument relations and dialogue acts, enabling deeper analysis of argument and dialogue structure than typical of argument-only corpora. The design of the corpus enables studies of second-language effects in English-medium interaction, cross-linguistic argument comparisons for German, Polish and Italian, and speaker dialogue strategy consistency, amongst others. The primary annotated MAD corpus is freely available at https://corpora.aifdb.org/mad, while we additionally release the unannotated transcripts to facilitate repurposing of the material.
%R 10.63317/3z4jk3uj7pfe
%U https://aclanthology.org/2026.lrec-1.554/
%U https://doi.org/10.63317/3z4jk3uj7pfe
%P 6962-6978
Markdown (Informal)
[MAD: A Corpus of Multilingual Argumentative Deliberation](https://aclanthology.org/2026.lrec-1.554/) (Maguire et al., LREC 2026)
ACL
- Eimear Maguire, Ella Schad, Jacky Visser, Chris Reed, and John Lawrence. 2026. MAD: A Corpus of Multilingual Argumentative Deliberation. In Proceedings of the Fifteenth Language Resources and Evaluation Conference, pages 6962–6978, Palma de Mallorca, Spain. ELRA Language Resource Association.