Welcome to the UPF Digital Repository
Browsing by Author "Bravo Serrano, Àlex, 1984-"
- Home
- →
- Browsing by Author
JavaScript is disabled for your browser. Some features of this site may not work without it.
Browsing by Author "Bravo Serrano, Àlex, 1984-"
Now showing items 1-20 of 23
-
Li, Tong Shu; Bravo Serrano, Àlex, 1984-; Furlong, Laura I., 1971-; Good, Benjamin M.; Su, Andrew I. (Oxford University Press, 2016)Relations between chemicals and diseases are one of the most queried biomedical interactions. Although expert manual curation is the standard method for extracting these relations from the literature, it is expensive and ...
-
AbuRa'ed, Ahmed Ghassan Tawfiq; Saggion, Horacio; Shvets, Alexander; Bravo Serrano, Àlex, 1984- (Springer, 2020)Related work sections or literature reviews are an essential part of every scientific article being crucial for paper reviewing and assessment. However, writing a good related work section is an activity which requires ...
-
Bravo Serrano, Àlex, 1984- (Universitat Pompeu Fabra, 2016-11-28)Current biomedical research needs to leverage the large amount of information reported in scientific publications. Automated text processing, commonly known as text mining, has become an indispensable tool to identify, ...
-
Bravo Serrano, Àlex, 1984-; Li, Tong Shu; Su, Andrew I.; Good, Benjamin M.; Furlong, Laura I., 1971- (Oxford University Press, 2016)Drug toxicity is a major concern for both regulatory agencies and the pharmaceutical industry. In this context, text-mining methods for the identification of drug side effects from free text are key for the development of ...
-
Gutiérrez Sacristán, Alba; Bravo Serrano, Àlex, 1984-; Giannoula, Alexia; Mayer, Miguel Ángel, 1960-; Sanz, Ferran; Furlong, Laura I., 1971- (Oxford University Press, 2018)MOTIVATION: The study of comorbidities is a major priority due to their impact on life expectancy, quality of life and healthcare cost. The availability of electronic health records (EHRs) for data mining offers the ...
-
Perez, Naiara; Accuosto, Pablo; Bravo Serrano, Àlex, 1984-; Cuadros Oller, Montse; Martínez-Garcia, Eva; Saggion, Horacio; Rigau Claramunt, German (Oxford University Press, 2019)Motivation Biomedical literature is one of the most relevant sources of information for knowledge mining in the field of Bioinformatics. In spite of English being the most widely addressed language in the field; in ...
-
Queralt Rosinach, Núria; Piñero González, Janet, 1977-; Bravo Serrano, Àlex, 1984-; Sanz, Ferran; Furlong, Laura I., 1971- (Oxford University Press , 2016)MOTIVATION: DisGeNET-RDF makes available knowledge on the genetic basis of human diseases in the Semantic Web. Gene-disease associations (GDAs) and their provenance metadata are published as human-readable and machine-processable ...
-
Piñero González, Janet, 1977-; Bravo Serrano, Àlex, 1984-; Queralt Rosinach, Núria; Gutiérrez Sacristán, Alba; Déu Pons, Jordi; Centeno, Emilio; García-García, Javier, 1982-; Sanz, Ferran; Furlong, Laura I., 1971- (Oxford University Press, 2017)The information about the genetic basis of human diseases lies at the heart of precision medicine and drug discovery. However, to realize its full potential to support these goals, several problems, such as fragmentation, ...
-
Piñero González, Janet, 1977-; Queralt Rosinach, Núria; Bravo Serrano, Àlex, 1984-; Déu Pons, Jordi; Bauer-Mehren, Anna; Baron, Martin; Sanz, Ferran; Furlong, Laura I., 1971- (Oxford University Press, 2015)DisGeNET is a comprehensive discovery platform designed to address a variety of questions concerning the genetic underpinning of human diseases. DisGeNET contains over 380,000 associations between >16,000 genes and 13,000 ...
-
Carbonell, Pablo; Mayer, Miguel Ángel, 1960-; Bravo Serrano, Àlex, 1984- (IOS Press , 2015)Twitter has been proposed by several studies as a means to track public health trends such as influenza and Ebola outbreaks by analyzing user messages in order to measure different population features and interests. In ...
-
Bravo Serrano, Àlex, 1984-; Piñero González, Janet, 1977-; Queralt Rosinach, Núria; Rautschka, Michael; Furlong, Laura I., 1971- (BioMed Central, 2015)BACKGROUND: Current biomedical research needs to leverage and exploit the large amount of information reported in scientific publications. Automated text mining approaches, in particular those aimed at finding relationships ...
-
Giannoula, Alexia; Gutiérrez Sacristán, Alba; Bravo Serrano, Àlex, 1984-; Sanz, Ferran; Furlong, Laura I., 1971- (Nature Publishing Group, 2018)Time is a crucial parameter in the assessment of comorbidities in population-based studies, as it permits to identify more complex disease patterns apart from the pairwise disease associations. So far, it has been, either, ...
-
Bravo Serrano, Àlex, 1984-; Cases, Montserrat; Queralt Rosinach, Núria; Sanz, Ferran; Furlong, Laura I., 1971- (Hindawi, 2014)The biomedical literature represents a rich source of biomarker information. However, both the size of literature databases and their lack of standardization hamper the automatic exploitation of the information contained ...
-
AbuRa'ed, Ahmed Ghassan Tawfiq; Chiruzzo, Luis; Saggion, Horacio; Accuosto, Pablo; Bravo Serrano, Àlex, 1984- (2017)In recent years there has been an increasing interest in approaches to scienti c summarization that take advantage of the citations a research paper has received in order to extract its main contributions. In this ...
-
Altin, Lutfiye Seda Mut; Bravo Serrano, Àlex, 1984-; Saggion, Horacio (CEUR Workshop Proceedings, 2019)In this paper we describe the participation of LaSTUS/TALN team in the shared task:“Humor Analysis based on Human Annotation” (HAHA) at the Spanish Society for Natural Language Processing (SEPLN) organized in the context ...
-
Altin, Lutfiye Seda Mut; Bravo Serrano, Àlex, 1984-; Saggion, Horacio (CEUR Workshop Proceedings, 2019)The Irony Detection in Spanish Variants (IroSvA’19) shared task aims at investigating the recognition of irony in Twitter messages in three different Spanish variants: from Spain , Mexico, and Cuba. This paper describes ...
-
Altin, Lutfiye Seda Mut; Bravo Serrano, Àlex, 1984-; Saggion, Horacio (The Association for Computational Linguistics, 2019)This paper describes a bidirectional LongShort Term Memory network for identifying offensive language in Twitter. Our system has been developed in the context of the SemEval 2019 Task 6 which comprises three different ...
-
Altin, Lutfiye Seda Mut; Bravo Serrano, Àlex, 1984-; Saggion, Horacio (CEUR Workshop Proceedings, 2019)This paper describes the participation of LaSTUS/TALN team in the shared task Sentiment Analysis at SEPLN (TASS) organized in the context of IberLEF 2019. TASS focuses on the classification of tweets written in the Spanish ...
-
Altin, Lutfiye Seda Mut; Bravo Serrano, Àlex, 1984-; Saggion, Horacio (ELRA (European Language Resources Association), 2020)This paper presents the participation of the LaSTUS/TALN team at TRAC-2020 Trolling, Aggression and Cyberbullying shared task. The aim of the task is to determine whether a given text is aggressive and contains misogynistic ...
-
AbuRa'ed, Ahmed Ghassan Tawfiq; Bravo Serrano, Àlex, 1984-; Chiruzzo, Luis; Saggion, Horacio (CEUR Workshop Proceedings, 2018)In this paper we present several systems developed to partic- ipate in the 3rd Computational Linguistics Scienti c Document Summa- rization Shared challenge which addresses the problem of summarizing a scienti c paper ...
Now showing items 1-20 of 23
© Universitat Pompeu Fabra | Plaça de la Mercè, 10-12. 08002 Barcelona | T. (+34) 93 542 20 00