Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Sudhahar, Saatviga"'
Reasoning over paths in large scale knowledge graphs is an important problem for many applications. In this paper we discuss a simple approach to automatically build and rank paths between a source and target entity pair with learned embeddings using
Externí odkaz:
http://arxiv.org/abs/1911.00492
Akademický článek
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Autor:
Sudhahar, Saatviga
In recent years there has been an increased interest in computational social sciences, digital humanities and political sciences to perform automated quantitative narrative analysis (QNA) of text in large scale, by studying actors, actions and relati
Externí odkaz:
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.685924
Akademický článek
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Autor:
Lansdall-Welfare, Thomas, Sudhahar, Saatviga, Thompson, James, Lewis, Justin, Team, FindMyPast Newspaper, Cristianini, Nello
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2017 Jan . 114(4), E457-E465.
Externí odkaz:
https://www.jstor.org/stable/26479059
Publikováno v:
Bindris, N, Sudhahar, S & Cristianini, N 2018, Fact Checking from Natural Text with Probabilistic Soft Logic . in Advances in Intelligent Data Analysis XVII : 17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24–26, 2018, Proceedings . Lecture Notes in Computer Science, vol. 11191, Springer, Cham, pp. 52-61 . https://doi.org/10.1007/978-3-030-01768-2_5
We demonstrate a method to support fact-checking of statements found in natural text such as online news, encyclopedias or academic repositories, by detecting if they violate knowledge that is implicitly present in a reference corpus. The method comb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2642::c8554ef1d9275135186bda9be9d10f3d
https://research-information.bris.ac.uk/ws/files/174318522/Nello_Christianini_FactCheackingPaper.pdf
https://research-information.bris.ac.uk/ws/files/174318522/Nello_Christianini_FactCheackingPaper.pdf
Autor:
Sudhahar, Saatviga, Cristianini, Nello
Publikováno v:
Sudhahar, S & Cristianini, N 2018, Detecting Shifts in Public Opinion : A Big Data Study of Global News Content . in Advances in Intelligent Data Analysis XVII : 17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24–26, 2018, Proceedings . Lecture Notes in Computer Science, vol. 11191, Springer, Cham, pp. 316-327 . https://doi.org/10.1007/978-3-030-01768-2_26
Rapid changes in public opinion have been observed in recent years about a number of issues, and some have attributed them to the emergence of a global online media sphere [1, 2]. Being able to monitor the global media sphere, for any sign of change,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2642::beade30657d9d13d2b96b11bb7040c5a
https://research-information.bris.ac.uk/en/publications/b57ab05a-f5ff-4627-9a5d-7559668d1dd4
https://research-information.bris.ac.uk/en/publications/b57ab05a-f5ff-4627-9a5d-7559668d1dd4
Publikováno v:
Lansdall-Welfare, T, Sudhahar, S, Thompson, J & Cristianini, N 2017, The Actors of History : Narrative Network Analysis Reveals the Institutions of Power in British Society Between 1800-1950 . in Advances in Intelligent Data Analysis XVI : 16th International Symposium, IDA 2017, London, UK, October 26–28, 2017, Proceedings . vol. 10584, Information Systems and Applications, incl. Internet/Web, and HCI, Springer Berlin Heidelberg, pp. 186-197 . https://doi.org/10.1007/978-3-319-68765-0_16
In this study we analyze a corpus of 35.9 million articles from local British newspapers published between 1800 and 1950, investigating the changing role played by key actors in public life. This involves the role of institutions (such as the Church
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2642::b4c34350e95c6ba2e9069ccf04ada1c7
https://research-information.bris.ac.uk/ws/files/146852956/Thomas_Lansdall_Welfare_The_Actors_of_History_Narrative_Network_Analysis.pdf
https://research-information.bris.ac.uk/ws/files/146852956/Thomas_Lansdall_Welfare_The_Actors_of_History_Narrative_Network_Analysis.pdf
Akademický článek
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Akademický článek
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