Paper: Topic Analysis for Psychiatric Document Retrieval

ACL ID P07-1129
Title Topic Analysis for Psychiatric Document Retrieval
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2007

Psychiatric document retrieval attempts to help people to efficiently and effectively locate the consultation documents relevant to their depressive problems. Individuals can understand how to alleviate their symp- toms according to recommendations in the relevant documents. This work proposes the use of high-level topic information ex- tracted from consultation documents to im- prove the precision of retrieval results. The topic information adopted herein includes negative life events, depressive symptoms and semantic relations between symptoms, which are beneficial for better understand- ing of users' queries. Experimental results show that the proposed approach achieves higher precision than the word-based re- trieval models, namely the vector space model (VSM) and Okapi model, adopting...