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of 42
pro vyhledávání: '"Reffin, Jeremy"'
Autor:
Butcher, Bradley, Huang, Vincent S., Reffin, Jeremy, Sgaier, Sema K., Charles, Grace, Quadrianto, Novi
In solving real-world problems like changing healthcare-seeking behaviors, designing interventions to improve downstream outcomes requires an understanding of the causal links within the system. Causal Bayesian Networks (BN) have been proposed as one
Externí odkaz:
http://arxiv.org/abs/2003.07182
Count-based distributional semantic models suffer from sparsity due to unobserved but plausible co-occurrences in any text collection. This problem is amplified for models like Anchored Packed Trees (APTs), that take the grammatical type of a co-occu
Externí odkaz:
http://arxiv.org/abs/1704.06692
In this paper, we investigate whether an a priori disambiguation of word senses is strictly necessary or whether the meaning of a word in context can be disambiguated through composition alone. We evaluate the performance of off-the-shelf single-vect
Externí odkaz:
http://arxiv.org/abs/1702.06696
We present a new framework for compositional distributional semantics in which the distributional contexts of lexemes are expressed in terms of anchored packed dependency trees. We show that these structures have the potential to capture the full sen
Externí odkaz:
http://arxiv.org/abs/1608.07115
Distributional models are derived from co-occurrences in a corpus, where only a small proportion of all possible plausible co-occurrences will be observed. This results in a very sparse vector space, requiring a mechanism for inferring missing knowle
Externí odkaz:
http://arxiv.org/abs/1608.06794
Publikováno v:
Conway, Maura ORCID: 0000-0003-4216-8592 , Khawaja, Moign ORCID: 0000-0002-4198-4224 , Lakhani, Suraj ORCID: 0000-0002-3077-4133 and Reffin, Jeremy ORCID: 0000-0002-0080-3685 (2021) A snapshot of the Syrian jihadi online ecology: differential disruption, community strength, and preferred other platforms. Studies in Conflict & Terrorism . ISSN 1057-610X
This article contributes to the growing literature on extremist and terrorist online ecologies and approaches to snapshotting these. It opens by measuring Twitter’s differential disruption of so-called “Islamic State” versus other jihadi partie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______119::9e560ee3d303a7fd9f4d4f97b1aa515a
http://doras.dcu.ie/25398/
http://doras.dcu.ie/25398/
Autor:
Conway, Maura, Khawaja, Moign, Lakhani, Suraj, Reffin, Jeremy, Robertson, Andrew, Weir, David
Publikováno v:
Conway, Maura ORCID: 0000-0003-4216-8592 , Khawaja, Moign ORCID: 0000-0002-4198-4224 , Lakhani, Suraj ORCID: 0000-0002-3077-4133 , Reffin, Jeremy ORCID: 0000-0002-0080-3685 , Robertson, Andrew and Weir, David (2018) Disrupting Daesh: measuring takedown of online terrorist material and it's impacts. Studies in Conflict & Terrorism, 42 (1-2). pp. 141-160. ISSN 1057-610X
This report seeks to contribute to public and policy debates on the value of social media disruption activity with respect to terrorist material. We look in particular at aggressive account and content takedown, with the aim of accurately measuring t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______119::701acf64d1373267b0e094c866d21a5d
http://doras.dcu.ie/21961/
http://doras.dcu.ie/21961/
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