Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Mark Ormerod"'
Publikováno v:
Computational Linguistics, Vol 50, Iss 1 (2024)
Externí odkaz:
https://doaj.org/article/adea8cc902684152ab32c3611e252b91
Autor:
Zhong Fan, Jun Cao, Taskin Jamal, Chris Fogwill, Cephas Samende, Zoe Robinson, Fiona Polack, Mark Ormerod, Sharon George, Adam Peacock, David Healey
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 11858-11864 (2022)
To decarbonize the energy system by the year 2050, it is crucial that innovations are trialled in a ‘real world’ setting for the purpose of increasing public adoption and support, and for providing insights to decision-makers to ensure their deci
Externí odkaz:
https://doaj.org/article/5b11f673c2084f5ea0e07c9d9ac26625
BACKGROUND Semantic textual similarity (STS) is a natural language processing (NLP) task that involves assigning a similarity score to 2 snippets of text based on their meaning. This task is particularly difficult in the domain of clinical text, whic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7275aef5c0d0d1a5e79fd9483503074
https://doi.org/10.2196/preprints.23099
https://doi.org/10.2196/preprints.23099
Publikováno v:
JMIR Medical Informatics
Ormerod, M, Martínez Del Rincón, J & Devereux, B 2021, ' Predicting Semantic Similarity Between Clinical Sentence Pairs Using Transformer Models: Evaluation and Representational Analysis ', JMIR Medical Informatics, vol. 9, no. 5, e23099 . https://doi.org/10.2196/23099
JMIR Medical Informatics, Vol 9, Iss 5, p e23099 (2021)
Ormerod, M, Martínez Del Rincón, J & Devereux, B 2021, ' Predicting Semantic Similarity Between Clinical Sentence Pairs Using Transformer Models: Evaluation and Representational Analysis ', JMIR Medical Informatics, vol. 9, no. 5, e23099 . https://doi.org/10.2196/23099
JMIR Medical Informatics, Vol 9, Iss 5, p e23099 (2021)
Background Semantic textual similarity (STS) is a natural language processing (NLP) task that involves assigning a similarity score to 2 snippets of text based on their meaning. This task is particularly difficult in the domain of clinical text, whic
Autor:
Majida H. Khazaal, Zainab A. Alfatlawi, John Z. Staniforth, R. Mark Ormerod, Richard J. Darton
Publikováno v:
Energy & Fuels. 32:12826-12832
A catalyst for the direct reforming of methane and simulated biogas has been prepared using a green and low temperature hydrothermal method. The nickel and iron co-doped SrZrO3 perovskite shows catalytic activity comparable to 10% Ni/Al2O3, but with
Autor:
Jesus Martinez-del-Rincon, Neil Robertson, Barry Devereux, Mark Ormerod, Bernadette McGuinness
Publikováno v:
BioNLP@ACL
Despite recent advances in the application of deep neural networks to various kinds of medical data, extracting information from unstructured textual sources remains a challenging task. The challenges of training and interpreting document classificat
Publikováno v:
Environmental Education Research. 21:417-432
This paper explores the ideological and the practical relationship between neoliberalism and New Public Management (NPM) and the sustainable development agenda of western higher education. Using the United Kingdom and specifically English universitie
Autor:
Neil Simcock, Sherilyn MacGregor, Philip Catney, Mark Ormerod, Sarah Marie Hall, Zoe P. Robinson, Andrew Dobson, Simon Ross, Sarah Royston
Publikováno v:
Energy Policy. 65:455-464
Reducing household energy consumption is an essential element of the UK Government's carbon reduction strategy. Whilst increased knowledge alone will not necessarily lead to tangible actions on the part of consumers, knowledge of various kinds is, we
Publikováno v:
Green Chem.. 16:4587-4594
A novel nickel-doped strontium zirconate perovskite catalyst for biogas reforming has been synthesised using a green, low temperature hydrothermal synthesis. The catalyst has been shown to be very efficient towards the conversion of methane-rich biog
Autor:
David Lennon, Elizabeth L. Norris, Christopher D. Frost, Robbie Warringham, Stewart F. Parker, Ian P. Silverwood, Andrew R. McFarlane, R. Mark Ormerod
Publikováno v:
ResearcherID
The use of CO2 in reforming methane to produce the industrial feedstock syngas is an economically and environmentally attractive reaction. An alumina-supported nickel catalyst active for this reaction additionally forms filamentous carbon. The cataly