| Challenge: | Existing models focus on semantically relevant information and provide a target-oriented parse tree structure for metaphor detection. |
| Approach: | They propose a new model which introduces a target-oriented parse tree structure for metaphor detection. |
| Outcome: | The proposed model achieves state-of-the-art on several main metaphor datasets and compares with other methods. |
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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. |
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ContrastWSD: Enhancing Metaphor Detection with Word Sense Disambiguation Following the Metaphor Identification Procedure (2024.lrec-main)
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| Challenge: | Existing methods for identifying metaphoric expressions in text relied on manual effort to identify the basic and contextual meanings of words. |
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Verb Metaphor Detection via Contextual Relation Learning (2021.acl-long)
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| Challenge: | Existing methods for metaphor detection take little consideration on linguistic theories of metaphor detection. |
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Neural Metaphor Detection in Context (D18-1)
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| Challenge: | Existing models focus on limited forms of linguistic context, such as unigrams. |
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| Challenge: | Existing models for concept-level metaphor detection lack explicit knowledge of FrameNet . Metaphor detection is a pervasive linguistic device that is used in cognitive and communicative functions of language. |
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Metaphor Detection via Explicit Basic Meanings Modelling (2023.acl-short)
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| Challenge: | Existing methods for metaphor detection use the aggregated meaning of a word to approximate its basic meaning. |
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| Challenge: | Existing approaches to metaphor detection are limited by ambiguous meanings of metaphorical substitute words. |
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| Challenge: | a new method for metaphor detection uses text from visual datasets to identify words . a metaphor is a complex interaction between two terms, creating an "implicationcomplex" |
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Construction Artifacts in Metaphor Identification Datasets (2023.emnlp-main)
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| Challenge: | Existing metaphor identification datasets can be gamed by completely ignoring the potential metaphorical expression or the context in which it occurs. |
| Approach: | They show that existing metaphor identification datasets can be gamed by fully ignoring the potential metaphorical expression or the context in which it occurs. |
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