Identifying well-formed biomedical phrases in MEDLINE® text.

ABSTRACT: In the modern world people frequently interact with retrieval systems to satisfy their information needs. Humanly understandable well-formed phrases represent a crucial interface between humans and the web, and the ability to index and search with such phrases is beneficial for human-web interactions. In this paper we consider the problem of identifying humanly understandable, well formed, and high quality biomedical phrases in MEDLINE documents. The main approaches used previously for detecting such phrases are syntactic, statistical, and a hybrid approach combining these two. In this paper we propose a supervised learning approach for identifying high quality phrases. First we obtain a set of known well-formed useful phrases from an existing source and label these phrases as positive. We

SUBMITTER: Kim W 

PROVIDER: S-EPMC3465642 | biostudies-literature | 2012 Dec

REPOSITORIES: biostudies-literature