Summary of Chainnet: Structured Metaphor and Metonymy in Wordnet, by Rowan Hall Maudslay et al.
ChainNet: Structured Metaphor and Metonymy in WordNet
by Rowan Hall Maudslay, Simone Teufel, Francis Bond, James Pustejovsky
First submitted to arxiv on: 29 Mar 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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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 The proposed ChainNet lexical resource explicitly models the internal structure of word senses, capturing how they relate to each other through metaphor, metonymy, or homonymy. By leveraging the Open English Wordnet and its linked resources, ChainNet represents a groundbreaking dataset for grounded metaphor and metonymy. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary ChainNet is a new way to understand words by showing how their meanings are connected. Imagine you know what a dog is – it’s a pet that wags its tail. But did you know that “dog” can also mean a type of food, like hot dogs? ChainNet helps us see these connections and how they work. |
