Papers by Sara Mc Carthy
Embedding Semantic Taxonomies (2020.coling-main)
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| Challenge: | Recent work on hierarchical representational structures in machine learning promises to blend the value of human curated taxonomies with the power and flexibility of machine learning systems. |
| Approach: | They propose to use box embeddings to encode aspects of partial ordering property of taxonomies to represent a medical subject headings taxonomy. |
| Outcome: | The proposed model outperforms baselines for taxonomic reconstruction and bipartite relationship experiments and is compared with a set of 300K PubMed articles with subject labels from MeSH. |