Papers by Rémi Uro
French Tweet Corpus for Automatic Stance Detection (2020.lrec-1)
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| Challenge: | a new corpus of tweets is being developed for automatic stance detection of fake news . the task involves determining the attitude expressed in a text toward a target . this is a difficult task to overcome as discussions about fake news are controversial . |
| Approach: | They propose to build a human-annotated corpus for automatic stance detection of tweets in french . they propose to use four classes broadly adopted by the community for annotation . |
| Outcome: | The proposed corpus is the first freely available stance annotated tweet corpus in the french language. |
A Semi-Automatic Approach to Create Large Gender- and Age-Balanced Speaker Corpora: Usefulness of Speaker Diarization & Identification. (2022.lrec-1)
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Rémi Uro, David Doukhan, Albert Rilliard, Laetitia Larcher, Anissa-Claire Adgharouamane, Marie Tahon, Antoine Laurent
| Challenge: | Existing methods for creating diachronic corpus of voices are based on speaker characteristics and require human intervention. |
| Approach: | They propose to use a semi-automatic pipeline to create a diachronic corpus of voices balanced for speaker’s age, gender and recording period, according to 32 categories. |
| Outcome: | The proposed method cut down on manual annotations by ten and provides high quality speech for most of the selected excerpts. |
Annotation of Transition-Relevance Places and Interruptions for the Description of Turn-Taking in Conversations in French Media Content (2024.lrec-main)
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| Challenge: | Few speech resources describe interruption phenomena, especially for TV and media content. |
| Approach: | They propose to annotation Transition-Relevance Places (TRPs) and Floor-Taking event types on an existing French TV and Radio broadcast corpus to facilitate studies of interruptions and turn-taking. |
| Outcome: | The proposed annotations on an existing French TV and Radio broadcast corpus show they are reliable and reliable . |