Enhancing The RATP-DECODA Corpus With Linguistic Annotations For Performing A Large Range Of NLP Tasks

Carole Lailler, Anaïs Landeau, Frédéric Béchet, Yannick Estève, Paul Deléglise


Abstract
In this article, we present the RATP-DECODA Corpus which is composed by a set of 67 hours of speech from telephone conversations of a Customer Care Service (CCS). This corpus is already available on line at http://sldr.org/sldr000847/fr in its first version. However, many enhancements have been made in order to allow the development of automatic techniques to transcript conversations and to capture their meaning. These enhancements fall into two categories: firstly, we have increased the size of the corpus with manual transcriptions from a new operational day; secondly we have added new linguistic annotations to the whole corpus (either manually or through an automatic processing) in order to perform various linguistic tasks from syntactic and semantic parsing to dialog act tagging and dialog summarization.
Anthology ID:
L16-1166
Volume:
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Month:
May
Year:
2016
Address:
Portorož, Slovenia
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
1047–1050
Language:
URL:
https://aclanthology.org/L16-1166
DOI:
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Cite (ACL):
Carole Lailler, Anaïs Landeau, Frédéric Béchet, Yannick Estève, and Paul Deléglise. 2016. Enhancing The RATP-DECODA Corpus With Linguistic Annotations For Performing A Large Range Of NLP Tasks. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 1047–1050, Portorož, Slovenia. European Language Resources Association (ELRA).
Cite (Informal):
Enhancing The RATP-DECODA Corpus With Linguistic Annotations For Performing A Large Range Of NLP Tasks (Lailler et al., LREC 2016)
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https://preview.aclanthology.org/update-css-js/L16-1166.pdf