Ubuntu-fr: A Large and Open Corpus for Multi-modal Analysis of Online Written Conversations

Nicolas Hernandez, Soufian Salim, Elizaveta Loginova Clouet

Abstract
We present a large, free, French corpus of online written conversations extracted from the Ubuntu platform’s forums, mailing lists and IRC channels. The corpus is meant to support multi-modality and diachronic studies of online written conversations. We choose to build the corpus around a robust metadata model based upon strong principles, such as the “stand off” annotation principle. We detail the model, we explain how the data was collected and processed - in terms of meta-data, text and conversation - and we detail the corpus’contents through a series of meaningful statistics. A portion of the corpus - about 4,700 sentences from emails, forum posts and chat messages sent in November 2014 - is annotated in terms of dialogue acts and sentiment. We discuss how we adapted our dialogue act taxonomy from the DIT++ annotation scheme and how the data was annotated, before presenting our results as well as a brief qualitative analysis of the annotated data.
Anthology ID:
L16-1280
Volume:
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Month:
May
Year:
2016
Address:
Portorož, Slovenia
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
1777–1783
Language:
URL:
https://aclanthology.org/L16-1280
DOI:
Bibkey:
Cite (ACL):
Nicolas Hernandez, Soufian Salim, and Elizaveta Loginova Clouet. 2016. Ubuntu-fr: A Large and Open Corpus for Multi-modal Analysis of Online Written Conversations. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 1777–1783, Portorož, Slovenia. European Language Resources Association (ELRA).
Cite (Informal):
Ubuntu-fr: A Large and Open Corpus for Multi-modal Analysis of Online Written Conversations (Hernandez et al., LREC 2016)
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https://preview.aclanthology.org/ml4al-ingestion/L16-1280.pdf
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