Literature DB >> 25448292

Question answering for biology.

Mariana Neves1, Ulf Leser2.   

Abstract

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.
Copyright © 2014 Elsevier Inc. All rights reserved.

Keywords:  Biomedicine; Data integration; Natural language processing; Question answering

Mesh:

Year:  2014        PMID: 25448292     DOI: 10.1016/j.ymeth.2014.10.023

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  3 in total

1.  Using FHIR to Construct a Corpus of Clinical Questions Annotated with Logical Forms and Answers.

Authors:  Sarvesh Soni; Meghana Gudala; Daisy Zhe Wang; Kirk Roberts
Journal:  AMIA Annu Symp Proc       Date:  2020-03-04

2.  A Pilot Study of Biomedical Text Comprehension using an Attention-Based Deep Neural Reader: Design and Experimental Analysis.

Authors:  Seongsoon Kim; Donghyeon Park; Yonghwa Choi; Kyubum Lee; Byounggun Kim; Minji Jeon; Jihye Kim; Aik Choon Tan; Jaewoo Kang
Journal:  JMIR Med Inform       Date:  2018-01-05

3.  Olelo: a web application for intuitive exploration of biomedical literature.

Authors:  Milena Kraus; Julian Niedermeier; Marcel Jankrift; Sören Tietböhl; Toni Stachewicz; Hendrik Folkerts; Matthias Uflacker; Mariana Neves
Journal:  Nucleic Acids Res       Date:  2017-07-03       Impact factor: 16.971

  3 in total

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