Using machine learning to extract information and predict outcomes from reports of randomised trials of smoking cessation interventions in the Human Behaviour-Change Project [version 1; peer review: 2 approved, 1 approved with reservations]

Autor: Pol Mac Aonghusa, Alison J. Wright, Robert West, Janna Hastings, Yufang Hou, Alison O'Mara-Eves, Francesca Bonin, Martin Gleize, Susan Michie, Marie Johnston, James Thomas

Publikováno v: Wellcome Open Research, Vol 8 (2023)

Background Using reports of randomised trials of smoking cessation interventions as a test case, this study aimed to develop and evaluate machine learning (ML) algorithms for extracting information from study reports and predicting outcomes as part o

Externí odkaz: https://doaj.org/article/ac776819a79d46b797389ba94c1df0bb

Automatic extraction of requirements-related information from regulatory documents cited in the project contract

Autor: Fotouhi, Sara

Publikováno v: Electronic Thesis and Dissertation Repository

[Context and motivation] Project contracts for building a system contain a large number of cross-references to regulatory documents such as environmental regulations, quality standards, and regulatory “codes”. The system being developed must comp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1548::e4fd964456275568db7bb173abb75b02
https://ir.lib.uwo.ca/etd/8122

Semantic clustering of relations between named entities

Autor: Romaric Besançon, Wei Wang, Olivier Ferret, Brigitte Grau

Publikováno v: International Conference on Natural Language Processing, NLP 2014
International Conference on Natural Language Processing, NLP 2014, 2014, Warsaw, Poland. pp.358-370, ⟨10.1007/978-3-319-10888-9_36⟩
Advances in Natural Language Processing ISBN: 9783319108872
PolTAL

International audience; Most research in Information Extraction concentrates on the extraction of relations from texts but less work has been done about their organization after their extraction. We present in this article a multi-level clustering me

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f7ef9bc23f911a4a8326cae81d0f66b
https://hal-cea.archives-ouvertes.fr/cea-01847293/document