Accuosto P, Saggion H. Improving the accessibility of biomedical texts by semantic enrichment and definition expansion. XXXIV Congreso Internacional de la Sociedad Española para el Procesamiento del Lenguaje Natural; 2018
We develop a large number of software tools and hosting infrastructures to support the research developed at the Department. We will be detailing in this section the different tools available. You can take a look for the moment at the offer available within the UPF Knowledge Portal, the innovations created in the context of EU projects in the Innovation Radar and the software sections of some of our research groups:
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Artificial Intelligence |
Nonlinear Time Series Analysis |
Web Research |
Music Technology |
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Interactive Technologies |
Barcelona MedTech |
Natural Language Processing |
Nonlinear Time Series Analysis |
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UbicaLab |
Wireless Networking |
Educational Technologies |
Accuosto P, Saggion H. Improving the accessibility of biomedical texts by semantic enrichment and definition expansion. XXXIV Congreso Internacional de la Sociedad Española para el Procesamiento del Lenguaje Natural; 2018
Accuosto P, Saggion H. Improving the accessibility of biomedical texts by semantic enrichment and definition expansion. XXXIV Congreso Internacional de la Sociedad Española para el Procesamiento del Lenguaje Natural; 2018
We present work aimed at facilitating the comprehensibility of healthrelated English-Spanish parallel texts by means of the semantic annotation of biomedical concepts and the automatic expansion of their definitions. In order to overcome the limitations posed by the scarcity of resources available for Spanish, we propose to exploit existing tools targeted at English and then transfer the produced annotations. The evaluations performed show the feasibility of this approach. An enriched set of texts is made available, which can be retrieved, visualized and downloaded through a web interface
Additional material
The linguistic resources generated in the context of this work, including the annotated documents in JSON format, are made available for download from the AsisTerm web site ( http://scientmin.taln.upf.edu/scielo/). AsisTerm provides an on-line interface to search and visualize biomedical abstracts from the ScieLO parallel corpus (Neves, Jimeno-Yepes, and N´ev´eol, 2016) in English and Spanish annotated with UMLS concepts
The full evaluations are made available on-line. ( 1http://scientmin.taln.upf.edu/scielo/ evaluations/Evaluations_AsisTerm.pdf )