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- Fano, E., et al.
(författare)
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Uppsala University and Gavagai at CLEF Erisk : Comparing word embedding models
- 2019
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Ingår i: CEUR Workshop Proceedings. - : CEUR-WS.
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Konferensbidrag (refereegranskat)abstract
- This paper describes an experiment to evaluate the performance of three different types of semantic vectors or word embeddings-random indexing, GloVe, and ELMo-and two different classification architectures-linear regression and multi-layer perceptrons-for the specific task of identifying authors with eating disorders from writings they publish on a discussion forum. The task requires the classifier to process texts written by the authors in the sequence they were published, and to identify authors likely to be at risk of suffering from eating disorders as early as possible. The data are part of the eRISK evaluation task of CLEF 2019 and evaluated according to the eRISK metrics. Contrary to our expectations, we did not observe a clear-cut advantage using the recently popular contextualized ELMo vectors over the commonly used and much more light-weight GloVe vectors, or the more handily learnable random indexing vectors.
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- Murdock, V., et al.
(författare)
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Second Workshop on Search and Exploration of X-Rated Information (SEXI'16) : WSDM workshop summary
- 2016
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Ingår i: WSDM 2016 - Proceedings of the 9th ACM International Conference on Web Search and Data Mining. - New York, NY, USA : Association for Computing Machinery (ACM). - 9781450337168 ; , s. 697-698
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Konferensbidrag (refereegranskat)abstract
- Adult content is pervasive on the web, has been a driving factor in the adoption of the Internet medium, and is responsible for a significant fraction of traffic and revenues, yet rarely attracts attention in research. The research questions surrounding adult content access behaviors are unique, and interesting and valuable research in this area can be done ethically. WSDM 2016 features a half day workshop on Search and Exploration of X-Rated Information (SEXI) for information access tasks related to adult content. While the scope of the workshop remains broad, special attention is devoted to the privacy and security issues surrounding adult content by inviting keynote speakers with extensive experience on these topics. The recent release of the personal data belonging to customers of the adult dating site Ashley Madison provides a timely context for the focus on privacy and security.
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- Vallianatou, Theodosia, et al.
(författare)
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A mass spectrometry imaging approach for investigating how drug-drug interactions influence drug blood-brain barrier permeability
- 2018
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Ingår i: NeuroImage. - : Elsevier BV. - 1053-8119 .- 1095-9572. ; 172, s. 808-816
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Tidskriftsartikel (refereegranskat)abstract
- There is a high need to develop quantitative imaging methods capable of providing detailed brain localization information of several molecular species simultaneously. In addition, extensive information on the effect of the blood-brain barrier on the penetration, distribution and efficacy of neuroactive compounds is required. Thus, we have developed a mass spectrometry imaging method to visualize and quantify the brain distribution of drugs with varying blood-brain barrier permeability. With this approach, we were able to determine blood-brain barrier transport of different drugs and define the drug distribution in very small brain structures (e.g., choroid plexus) due to the high spatial resolution provided. Simultaneously, we investigated the effect of drug-drug interactions by inhibiting the membrane transporter multidrug resistance 1 protein. We propose that the described approach can serve as a valuable analytical tool during the development of neuroactive drugs, as it can provide physiologically relevant information often neglected by traditional imaging technologies.
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