Question answering for Biology
- Biologists often pose queries to search engines and biological databases to obtain answers related to ongoing experiments. This is known to be a time consuming, and sometimes frustrating, task in which more than one query is posed and many databases are consulted to come to possible answers for a single fact. Question answering comes as an alternative to this process by allowing queries to be posed as questions, by integrating various resources of different nature and by returning an exact answer to the user. We have surveyed the current solutions on question answering for Biology, present an overview on the methods which are usually employed and give insights on how to boost performance of systems in this domain. (C) 2014 Elsevier Inc. All rights reserved.
Author details: | Mariana Neves, Ulf Leser |
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DOI: | https://doi.org/10.1016/j.ymeth.2014.10.023 |
ISSN: | 1046-2023 |
ISSN: | 1095-9130 |
Pubmed ID: | https://pubmed.ncbi.nlm.nih.gov/25448292 |
Title of parent work (English): | Methods : focusing on rapidly developing techniques |
Publisher: | Elsevier |
Place of publishing: | San Diego |
Publication type: | Article |
Language: | English |
Year of first publication: | 2015 |
Publication year: | 2015 |
Release date: | 2017/03/27 |
Tag: | Biomedicine; Data integration; Natural language processing; Question answering |
Volume: | 74 |
Number of pages: | 11 |
First page: | 36 |
Last Page: | 46 |
Organizational units: | An-Institute / Hasso-Plattner-Institut für Digital Engineering gGmbH |
Peer review: | Referiert |