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Hits 1 – 2 of 2
1
Combining pre-trained word embeddings and linguistic features for sequential metaphor identification
Mao, R.
;
Lin, C.
;
Guerin, F.
. - 2021
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2
Interpreting verbal metaphors by paraphrasing
Mao, R.
;
Lin, C.
;
Guerin, F.
. - 2021
Abstract:
Metaphorical expressions are difficult linguistic phenomena, challenging diverse Natural Language Processing tasks. Previous works showed that paraphrasing a metaphor as its literal counterpart can help machines better process metaphors on downstream tasks. In this paper, we interpret metaphors with BERT and WordNet hypernyms and synonyms in an unsupervised manner, showing that our method significantly outperforms the state-of-the-art baseline. We also demonstrate that our method can help a machine translation system improve its accuracy in translating English metaphors to 8 target languages.
URL:
https://eprints.whiterose.ac.uk/177027/1/2104.03391v1.pdf
https://eprints.whiterose.ac.uk/177027/
https://arxiv.org/abs/2104.03391v1
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