Papers by Martin Wegrzyn
Exploring Semantic Spaces for Detecting Clustering and Switching in Verbal Fluency (2022.coling-1)
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| Challenge: | Existing evaluations of word/concept representations on verbal fluency tasks rely on human annotations of clusters and switches between sub-categories. |
| Approach: | They analyze word/concept representations in an experimental verbal fluency dataset . they find that ConceptNet embeddings outperforms other semantic representations . |
| Outcome: | The proposed method outperforms other semantic representations by a large margin. |