Papers by Junhyuk Lee

1 papers
MelBERT: Metaphor Detection via Contextualized Late Interaction using Metaphorical Identification Theories (2021.naacl-main)

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Challenge: Existing studies have developed computational models to recognize metaphorical words in sentences.
Approach: They propose a model that leverages contextualized word representation and linguistic metaphor identification theories to detect whether the target word is metaphorical.
Outcome: The proposed model outperforms baseline models on four benchmark datasets . it leverages contextualized word representation and linguistic metaphor identification theories to detect whether the target word is metaphorical.

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