Summary of Meta4xnli: a Crosslingual Parallel Corpus For Metaphor Detection and Interpretation, by Elisa Sanchez-bayona et al.
Meta4XNLI: A Crosslingual Parallel Corpus for Metaphor Detection and Interpretation
by Elisa Sanchez-Bayona, Rodrigo Agerri
First submitted to arxiv on: 10 Apr 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary Meta4XNLI is a novel dataset for detecting and interpreting metaphors in Spanish and English. The paper investigates language models’ ability to grasp metaphorical meaning through monolingual and cross-lingual experiments. By leveraging Meta4XNLI, the study evaluates how non-literal expressions affect model performance and explores opportunities for metaphor transferability between languages. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This research creates a special dataset called Meta4XNLI that helps computers understand metaphors in Spanish and English. Scientists tested different language models to see if they could figure out what metaphors mean. They found out how well these models do when dealing with non-literal expressions. This study also looks at whether these expressions can be used to make computer programs better for understanding multiple languages. |
Keywords
» Artificial intelligence » Transferability
