Journal
HUMAN GENOMICS
Volume 6, Issue -, Pages -Publisher
BIOMED CENTRAL LTD
DOI: 10.1186/1479-7364-6-17
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Funding
- NIH Grant from the IDeA Networks of Biomedical Research Excellence (INBRE) Program of the National Center for Research Resources [P20 RR-16460]
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We live in an age of access to more information than ever before. This can be a double-edged sword. Increased access to information allows for more informed and empowered researchers, while information overload becomes an increasingly serious risk. Thus, there is a need for intelligent information retrieval systems that can summarize relevant and reliable textual sources to satisfy a user's query. Question answering is a specialized type of information retrieval with the aim of returning precise short answers to queries posed as natural language questions. We present a review and comparison of three biomedical question answering systems: askHERMES (http://www.askhermes.org/), EAGLi (http://eagl.unige.ch/EAGLi/), and HONQA (http://services.hon.ch/cgi-bin/QA10/qa.pl).
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