Abstract
Domain knowledge is essential resource in Information Extraction (IE) from free text since it supports the decisions about structuring the extracted text objects into domain statements. Thus manually-created conceptual structures enable the semantic representation of textual information. This paper discusses the role of domain knowledge in information extraction of structured data from patient-related texts. The article shows that domain knowledge is encoded not only in the conceptual structures, which provide the ontological framework for the IE task, but also in the IE templates that are designed to capture domain semantics. A prototype system and IE examples of domain knowledge usage are considered together with results of the current prototype evaluation.
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Angelova, G. (2010). Use of Domain Knowledge in the Automatic Extraction of Structured Representations from Patient-Related Texts. In: Croitoru, M., Ferré, S., Lukose, D. (eds) Conceptual Structures: From Information to Intelligence. ICCS 2010. Lecture Notes in Computer Science(), vol 6208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14197-3_6
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DOI: https://doi.org/10.1007/978-3-642-14197-3_6
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