Abstract
This overview presents the Author Profiling and Deception Detection in Arabic (APDA) shared task at PAN@FIRE 2019. Two have been the main aims of this years task: i) to profile the age, gender and native language of a Twitter user; ii) to determine whether an Arabic text is deceptive or not in two different genres: Twitter and news headlines. For this purpose we have created three corpora in Arabic. Altogether, the approaches of 13 participants are evaluated.
| Original language | English |
|---|---|
| Pages (from-to) | 70-83 |
| Number of pages | 14 |
| Journal | CEUR Workshop Proceedings |
| Volume | 2517 |
| Publication status | Published - 15 Dec 2019 |
| Event | 11th Forum for Information Retrieval Evaluation, FIRE 2019 - Kolkata, India Duration: 12 Dec 2019 → 15 Dec 2019 |
Keywords
- Arabic
- Author profiling
- Deception detection
- FIRE
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