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Présentation| old_uid | 20234 |
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| title | Présentation |
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| start_date | 2022/03/18 |
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| schedule | 11h |
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| online | no |
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| summary | The long-term goal of the Natural Language Processing research area is to make computers/machines as intelligent as human beings in understanding and generating language, being thus able: to speak, to make deduction, to ground on common knowledge, to answer, to debate, to support humans in decision making, to explain, to persuade. Natural language understanding can come in many forms. In my research career so far I put efforts in investigating some of these forms, strongly connected to the actions I would like intelligent artificial systems to be able to perform. In my presentation, I will focus on some of these research challenges, that I believe stand in the way of reaching this ambitious goal: (1) the detection of argumentative structures and the prediction the relations among them in different textual resources as political debates, medical texts, and social media content; (2) the detection of abusive language, taking advantage of both the network analysis and the content of the short-text messages on online platforms to detect cyberbullying phenomena. |
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| responsibles | Seddah |
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