Papers by Matteo Luigi Palmonari
On the Impact of Temporal Representations on Metaphor Detection (2022.lrec-1)
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| Challenge: | State-of-the-art approaches for metaphor detection compare their literal - or core - meaning and their contextual meaning using neural networks. |
| Approach: | They propose to use temporal and static word embeddings to account for different representations of literal meanings to examine metaphor detection tasks. |
| Outcome: | The proposed method outperforms static methods but may provide representations of the core meaning of the metaphor too close to their contextual meaning, causing confusion. |