Development of a Test Collection of Manually Extracted Semantic Relationships in Health Consumer Texts
نویسندگان
چکیده
Semantic relationships within knowledge bases are the links that connect concepts to one another. They are often used, for example, within information retrieval applications for search term expansion. The overall goal of this project was to manually identify the semantic relationships within health consumer question and physician-provided answer texts. We created a collection of manually identified semantic relationships for purposes of evaluating automated extraction methods. We identified a total of 509 semantic relationship instances within twelve consumer-oriented question-answer pairs (avg. of 275 words per pair). Coding of the semantic relationships was based on a set of revised relations derived from the Unified Medical Language System (UMLS) Semantic Network.
منابع مشابه
Semantic representation of consumer questions and physician answers
The aim of this study was to identify the underlying semantics of health consumers' questions and physicians' answers in order to analyze the semantic patterns within these texts. We manually identified semantic relationships within question-answer pairs from Ask-the-Doctor Web sites. Identification of the semantic relationship instances within the texts was based on the relationship classes an...
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