A knowledge based method for the medical question answering problem

In this paper, a restricted domain question answering (QA) system is described. The design architecture of this QA system and the features that allow the adaptation of the QA system to the medical domain are also presented. The advantages of this QA system include the simple process of defining the question taxonomy answered by the system as well as the possibility of locally or remotely managed document collections. The main computing methods of the QA system are based on the application of natural language processing (NLP) techniques to infer the logic forms and on the treatment of the logic forms. The knowledge of the system is acquired through the use of two different resources: Unified Medical Language System (UMLS) to handle the medical terminology and WordNet to manage the open-domain terminology.

[1]  Jimmy J. Lin,et al.  Knowledge Extraction for Clinical Question Answering: Preliminary Results , 2005 .

[2]  Ingrid Zukerman,et al.  Lexical Query Paraphrasing for Document Retrieval , 2002, COLING.

[3]  Young-In Song,et al.  A Practical QA System in Restricted Domains , 2004 .

[4]  Graeme Hirst,et al.  Answering Clinical Questions with Role Identification , 2003, BioNLP@ACL.

[5]  D. Lindberg,et al.  The Unified Medical Language System , 1993, Methods of Information in Medicine.

[6]  George A. Miller,et al.  WordNet 2 - A Morphologically and Semantically Enhanced Resource , 1999 .

[7]  B L Humphreys,et al.  The UMLS project: making the conceptual connection between users and the information they need. , 1993, Bulletin of the Medical Library Association.

[8]  Rolf Schwitter,et al.  ExtrAns, an answer extraction system , 2000 .

[9]  Gerhard Weikum,et al.  The LRU-K page replacement algorithm for database disk buffering , 1993, SIGMOD Conference.

[10]  Sanda M. Harabagiu,et al.  COGEX: A Logic Prover for Question Answering , 2003, NAACL.

[11]  Yutaka Sasaki.  Question Answering as Question-Biased Term Extraction: A New Approach toward Multilingual QA , 2005, ACL.

[12]  Jacques Courtin,et al.  Parsing with Dependency Relations and Robust Parsing , 2002 .

[13]  P. Gorman,et al.  A taxonomy of generic clinical questions: classification study , 2000, BMJ : British Medical Journal.

[14]  George A. Miller,et al.  Introduction to WordNet: An On-line Lexical Database , 1990 .

[15]  Farah Benamara.  Cooperative Question Answering in Restricted Domains: the WEBCOOP Experiment , 2004 .

[16]  Graeme Hirst,et al.  Analysis of Semantic Classes in Medical Text for Question Answering , 2004 .

[17]  Vasile Rus,et al.  Logic Form Transformation of WordNet and its Applicability to Question Answering , 2001, ACL.

[18]  Diego Mollá.  Towards incremental semantic annotation , 2001 .

[19]  Fernando Llopis,et al.  Does English help Question Answering in Spanish? , 2004, CLEF.

[20]  Fabio Rinaldi,et al.  Answering Questions in the Genomics Domain , 2004, ACL 2004.

[21]  Dekang Lin,et al.  Dependency-Based Evaluation of Minipar , 2003 .