Abstract
A consumer health information system must be able to comprehend both expert and non-expert medical vocabulary and to map between the two. We describe an ongoing project to create a new lexical database called Medical WordNet (MWN), consisting of medically relevant terms used by and intelligible to non-expert subjects and supplemented by a corpus of natural-language sentences that is designed to provide medically validated contexts for MWN terms. The corpus derives primarily from online health information sources targeted to consumers, and involves two sub-corpora, called Medical FactNet (MFN) and Medical BeliefNet (MBN), respectively. The former consists of statements accredited as true on the basis of a rigorous process of validation, the latter of statements which non-experts believe to be true. We summarize the MWN/MFN/MBN project, and describe some of its applications.
| Original language | English |
|---|---|
| State | Published - 2004 |
| Event | 20th International Conference on Computational Linguistics, COLING 2004 - Geneva, Switzerland Duration: Aug 23 2004 → Aug 27 2004 |
Conference
| Conference | 20th International Conference on Computational Linguistics, COLING 2004 |
|---|---|
| Country/Territory | Switzerland |
| City | Geneva |
| Period | 08/23/04 → 08/27/04 |
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