Papers by Bilal Ghanem
What Motivates You? Benchmarking Automatic Detection of Basic Needs from Short Posts (2021.acl-short)
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| Challenge: | According to the self-determination theory, the levels of satisfaction of three basic needs (competence, autonomy and relatedness) have implications on people’s everyday life and career. |
| Approach: | They propose to model a task that automatically detects three basic needs on short posts in English and then apply them to a binary task. |
| Outcome: | The proposed model achieves similar performance as a trained human annotator in the real-world. |
FakeFlow: Fake News Detection by Modeling the Flow of Affective Information (2021.eacl-main)
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| Challenge: | In short news articles, authors add exaggerations or fabricate events to manipulate readers' emotions. |
| Approach: | They propose to model the flow of affective information in fake news articles using a neural architecture and combine topic and affective data extracted from text. |
| Outcome: | The proposed model outperforms state-of-the-art methods on four real-world datasets and shows that it can capture the flow of affective information in fake news articles. |
Question Generation for Reading Comprehension Assessment by Modeling How and What to Ask (2022.findings-acl)
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| Challenge: | Existing Question Generation systems focus on extractive questions and do not control the type of questions. |
| Approach: | They propose a question generation model that generates inferential questions from text . they propose he model can generate questions annotated with story-based reading comprehension skills . |
| Outcome: | The proposed model outperforms baselines on a reading comprehension dataset. |