2012 UsabilitySurveyofBiomedicalQues

• (Bauer & Berleant, 2012) ⇒ Michael A. Bauer, and Daniel Berleant. (2012). “Usability Survey of Biomedical Question Answering Systems.” In: Human Genomics Journal, 6. ISBN:1479-7364 doi:10.1186/1479-7364-6-17

Subject Headings: Question Answering (Qa) System; Eagli System

Cited By

• http://scholar.google.com/scholar?q=%222012%22+Usability+Survey+of+Biomedical+Question+Answering+Systems
• https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3500219/
• https://link.springer.com/article/10.1186%2F1479-7364-6-17

Quotes

Abstract

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).

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2012 UsabilitySurveyofBiomedicalQues	Daniel Berleant Michael A. Bauer			Usability Survey of Biomedical Question Answering Systems				10.1186/1479-7364-6-17		2012