Papers by Elizabeth Soper
When Polysemy Matters: Modeling Semantic Categorization with Word Embeddings (2022.starsem-1)
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| Challenge: | Recent work using word embeddings to model semantic categorization has shown that static models outperform contextual models. |
| Approach: | They consider polysemy as a possible confounding factor in categorization decisions . they compare sense-level embeddings with previously studied static embedds . |
| Outcome: | The proposed model outperforms static models on coarse- and fine-grained categorization tasks. |