Concept-Graph Based Biomedical Automatic Summarization Using Ontologies
نویسندگان
چکیده
One of the main problems in research on automatic summarization is the inaccurate semantic interpretation of the source. Using specific domain knowledge can considerably alleviate the problem. In this paper, we introduce an ontology-based extractive method for summarization. It is based on mapping the text to concepts and representing the document and its sentences as graphs. We have applied our approach to summarize biomedical literature, taking advantages of free resources as UMLS. Preliminary empirical results are presented and pending problems are identified.
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Uso de Grafos de Conceptos para la Generación Automática de Resúmenes en Biomedicina
One of the main problems in research on automatic summarization is the inaccurate semantic interpretation of the source, which is reflected in the deficiencies shown by the resulting summaries. Using specific domain knowledge, as that supplied by ontologies, can considerably alleviate the problem. In this paper, we introduce an ontology-based extractive method for summarization. It is based on ...
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