How Can the Term Compositionality Be Useful for Acquiring Elementary Semantic Relations?
نویسندگان
چکیده
Acquiring and enriching lexical resources is cruciel for various areas of the computational linguistics applications, espcially in specialised domains. In this paper, we propose a high-quality method exploiting the compositionality of complex terms issued from a structured terminology. to infer synonymy and hierarchical relations between words or terms. The approach has been applied and evaluated on the Gene Ontology biomedical terminology. 1,273 is-a, 178 part-of and 921 synonymy relations have been inferred from the 24,357 is-a, 2,726 part-of and 13,850 synonymy relations provided by GO. We analyse the results and their combination through a graph representation to identify clues helping their validation.
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