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- W2156778161 abstract "This paper discusses principles for the design of natural language processing (NLP) systems to automatically extract data from doctor's notes, laboratory results and other medical documents in free-form text. We argue that rather than searching for atom units of meaning in the text and then trying to generalize them into a broader set of documents through increasingly complicated system of rules, an NLP practitioner should take concepts as a whole and as a meaningful unit of text. This simplifies the rules and makes NLP system easier to maintain and adapt. The departure point is purely practical; however, a deeper investigation of typical problems with the implementation of such systems leads us to a discussion of broader linguistic theories underlying the NLP practices, such as metaphors theories and models of human communication." @default.
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- W2156778161 date "2014-09-01" @default.
- W2156778161 modified "2023-09-27" @default.
- W2156778161 title "Units of Meaning in Medical Documents: A Natural Language Processing Perspective" @default.
- W2156778161 doi "https://doi.org/10.1142/s1793351x14400078" @default.
- W2156778161 hasPublicationYear "2014" @default.
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