Literature DB >> 16779389

Question analysis for biomedical question answering.

Carl Sable1, Minsuk Lee, Hai Ran Zhu, Hong Yu.   

Abstract

We are developing a biomedical question answering system. This paper describes our system's architecture and our question analysis component. Specifically, we have explored the use of various supervised machine learning approaches to filter out unanswerable questions based on physicians' annotations.

Mesh:

Year:  2005        PMID: 16779389      PMCID: PMC1560855     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  2 in total

1.  Obstacles to answering doctors' questions about patient care with evidence: qualitative study.

Authors:  John W Ely; Jerome A Osheroff; Mark H Ebell; M Lee Chambliss; Daniel C Vinson; James J Stevermer; Eric A Pifer
Journal:  BMJ       Date:  2002-03-23

2.  The UMLS project: making the conceptual connection between users and the information they need.

Authors:  B L Humphreys; D A Lindberg
Journal:  Bull Med Libr Assoc       Date:  1993-04
  2 in total

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