Papers by Béatrice Mazoyer
A French Corpus for Event Detection on Twitter (2020.lrec-1)
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| Challenge: | Existing datasets may have different definitions of event or topic, which leads to inconsistent results. |
| Approach: | They present a corpus annotated for event detection tasks consisting of 38 million tweets in French and 130,000 manually annotating tweets as related or unrelated to a given event. |
| Outcome: | The proposed method performs best on 38 million tweets in French and another publicly available dataset of tweets. |
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. |