Semantic Relatedness for Biomedical Word Sense Disambiguation
نویسندگان
چکیده
This paper presents a graph-based method for all-word word sense disambiguation of biomedical texts using semantic relatedness as edge weight. Semantic relatedness is derived from a term-topic co-occurrence matrix. The sense inventory is generated by the MetaMap program. Word sense disambiguation is performed on a disambiguation graph via a vertex centrality measure. The proposed method achieves competitive performance on a benchmark dataset.
منابع مشابه
Evaluating measures of semantic similarity and relatedness to disambiguate terms in biomedical text
INTRODUCTION In this article, we evaluate a knowledge-based word sense disambiguation method that determines the intended concept associated with an ambiguous word in biomedical text using semantic similarity and relatedness measures. These measures quantify the degree of similarity or relatedness between concepts in the Unified Medical Language System (UMLS). The objective of this work is to d...
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