Investigating text power in predicting semantic similarity
<p>This article presents an empirical evaluation to investigate the distributional semantic power of abstract, body and full-text, as different text levels, in predicting the semantic similarity using a collection of open access articles from PubMed. The semantic similarity is measured based on two...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Regional Information Center for Science and Technology (RICeST)
2019-01-01
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| Colecção: | International Journal of Information Science and Management |
| Assuntos: | |
| Acesso em linha: | https://ijism.ricest.ac.ir/index.php/ijism/article/view/1297 |
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