Frame-Based Detection of Figurative Language in Tweets [Application Notes]

Aude Grezka
Aude Grezka
Farideh Tavazoee
Farideh Tavazoee

IEEE Computational Intelligence Magazine, pp. 77-88, 2019.

Cited by: 0|Views5
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Abstract:

This paper analyzes the problem of figurative language detection on social media, with a focus on the use of semantic features for identifying irony and sarcasm. Framester, a novel resource that acts as a hub between FrameNet, WordNet, VerbNet, BabelNet, DBpedia, Yago, DOLCE-Zero and others, has been used to extract semantic features from...More

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