Papers by Orphée De Clercq
Leveraging syntactic parsing to improve event annotation matching (D19-59)
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| Challenge: | Evaluating annotator consistency is crucial when building datasets for mention detection. |
| Approach: | They propose to use different fuzzy-matching functions to resolve this ambiguity by extracting syntactic heads present in annotations and using the Dice coefficient to measure similarity between sets. |
| Outcome: | The proposed functions are tested against the judgment of a human evaluator and show that the best-performing function agrees with the human . |
Misery Loves Complexity: Exploring Linguistic Complexity in the Context of Emotion Detection (2023.findings-emnlp)
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| Challenge: | a negative emotion is a cognitive bias that affects how we express thoughts and opinions online . a recent study shows that negative words generate more engagement and clicks than positive ones . |
| Approach: | They propose to use readability and linguistic complexity metrics to better understand emotions . they propose to fine-tune three state-of-the-art transformers to detect emotions based on a dataset . |
| Outcome: | The proposed model fails to predict emotions on complex texts, the authors show . they also show that more advanced models fail to predict complex texts . |