All Title Author
Keywords Abstract

Usability survey of biomedical question answering systems

DOI: 10.1186/1479-7364-6-17

Full-Text   Cite this paper   Add to My Lib


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 (, EAGLi (, and HONQA (


comments powered by Disqus