'HypothesisFinder:' a strategy for the detection of speculative statements in scientific text.

Speculative statements communicating experimental findings are frequently found in scientific articles, and their purpose is to provide an impetus for further investigations into the given topic. Automated recognition of speculative statements in scientific text has gained interest in recent years a...

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Autores principales:	Ashutosh Malhotra, Erfan Younesi, Harsha Gurulingappa, Martin Hofmann-Apitius
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/96d72e0f18954ce8b0d28ff3dc3c8ab5
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spelling	oai:doaj.org-article:96d72e0f18954ce8b0d28ff3dc3c8ab52021-11-18T05:53:43Z'HypothesisFinder:' a strategy for the detection of speculative statements in scientific text.1553-734X1553-735810.1371/journal.pcbi.1003117https://doaj.org/article/96d72e0f18954ce8b0d28ff3dc3c8ab52013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23935466/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Speculative statements communicating experimental findings are frequently found in scientific articles, and their purpose is to provide an impetus for further investigations into the given topic. Automated recognition of speculative statements in scientific text has gained interest in recent years as systematic analysis of such statements could transform speculative thoughts into testable hypotheses. We describe here a pattern matching approach for the detection of speculative statements in scientific text that uses a dictionary of speculative patterns to classify sentences as hypothetical. To demonstrate the practical utility of our approach, we applied it to the domain of Alzheimer's disease and showed that our automated approach captures a wide spectrum of scientific speculations on Alzheimer's disease. Subsequent exploration of derived hypothetical knowledge leads to generation of a coherent overview on emerging knowledge niches, and can thus provide added value to ongoing research activities.Ashutosh MalhotraErfan YounesiHarsha GurulingappaMartin Hofmann-ApitiusPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 9, Iss 7, p e1003117 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Ashutosh Malhotra Erfan Younesi Harsha Gurulingappa Martin Hofmann-Apitius 'HypothesisFinder:' a strategy for the detection of speculative statements in scientific text.
description	Speculative statements communicating experimental findings are frequently found in scientific articles, and their purpose is to provide an impetus for further investigations into the given topic. Automated recognition of speculative statements in scientific text has gained interest in recent years as systematic analysis of such statements could transform speculative thoughts into testable hypotheses. We describe here a pattern matching approach for the detection of speculative statements in scientific text that uses a dictionary of speculative patterns to classify sentences as hypothetical. To demonstrate the practical utility of our approach, we applied it to the domain of Alzheimer's disease and showed that our automated approach captures a wide spectrum of scientific speculations on Alzheimer's disease. Subsequent exploration of derived hypothetical knowledge leads to generation of a coherent overview on emerging knowledge niches, and can thus provide added value to ongoing research activities.
format	article
author	Ashutosh Malhotra Erfan Younesi Harsha Gurulingappa Martin Hofmann-Apitius
author_facet	Ashutosh Malhotra Erfan Younesi Harsha Gurulingappa Martin Hofmann-Apitius
author_sort	Ashutosh Malhotra
title	'HypothesisFinder:' a strategy for the detection of speculative statements in scientific text.
title_short	'HypothesisFinder:' a strategy for the detection of speculative statements in scientific text.
title_full	'HypothesisFinder:' a strategy for the detection of speculative statements in scientific text.
title_fullStr	'HypothesisFinder:' a strategy for the detection of speculative statements in scientific text.
title_full_unstemmed	'HypothesisFinder:' a strategy for the detection of speculative statements in scientific text.
title_sort	'hypothesisfinder:' a strategy for the detection of speculative statements in scientific text.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/96d72e0f18954ce8b0d28ff3dc3c8ab5
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'HypothesisFinder:' a strategy for the detection of speculative statements in scientific text.

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