Zobrazeno 1 - 10
of 47
pro vyhledávání: '"José Luis Vicedo"'
Autor:
Diego Mollá, José Luis Vicedo
Publikováno v:
Computational Linguistics, Vol 33, Iss 1 (2021)
Externí odkaz:
https://doaj.org/article/41d7d3c4aad047abb0ef61823d7ec564
Autor:
David Tomás, José Luis Vicedo
Publikováno v:
Linguamática, Vol 1, Iss 2 (2009)
Este artículo presenta una aproximacíon a la clasificación automática de preguntas en español y catalán. El sistema de clasificación está basado en el algoritmo SVM y en el uso de diferentes funciones kernel, empleando únicamente caracterís
Externí odkaz:
https://doaj.org/article/1657a56c63734b599505bfbaeac97255
Publikováno v:
Polibits. 40:5-11
Publikováno v:
Information Processing & Management. 45:175-188
This paper presents QACID an ontology-based Question Answering system applied to the CInema Domain. This system allows users to retrieve information from formal ontologies by using as input queries formulated in natural language. The original charact
Autor:
José Luis Vicedo, Diego Mollá
Publikováno v:
Computational Linguistics. 33:41-61
Automated question answering has been a topic of research and development since the earliest AI applications. Computing power has increased since the first such systems were developed, and the general methodology has changed from the use of hand-enco
Autor:
David Tomás, José Luis Vicedo
Publikováno v:
Journal of the American Society for Information Science and Technology. 64:1519-1521
Publikováno v:
Toxicology Letters. 71:47-51
Neuropathy target esterase (NTE) is a protein suggested to be involved in the initiation mechanism of organophosphorus-induced delayed neuropathy (OPIDP). We previously described two different forms of NTE activity in hen sciatic nerve: a particulate
Autor:
Christian Spurk, Rubén Izquierdo, Bernardo Magnini, Constantin Orasan, Matteo Negri, Óscar Ferrández, José Luis Vicedo, David Tomás, Iustin Dornescu, Sergio Ferrández, Guenter Neumann, Milen Kouylekov
Publikováno v:
SSRN Electronic Journal.
This paper presents the QALL-ME Framework, a reusable architecture for building multi- and cross-lingual Question Answering (QA) systems working on structured data modelled by an ontology. It is released as free open source software with a set of dem
Publikováno v:
ResearcherID
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
This paper presents a multilayered architecture that enhances the capabilities of current QA systems and allows different types of complex questions or queries to be processed. The answers to these questions need to be gathered from factual informati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea95152dce139fede39be54598b83bfd
https://hdl.handle.net/10045/22488
https://hdl.handle.net/10045/22488
Autor:
Sergio Ferrández, Ester Boldrini, José Luis Vicedo, David Tomás, Óscar Ferrández, Rubén Izquierdo
Publikováno v:
2009 2nd Conference on Human System Interactions.
This paper presents our research related to automatic Expected Answer Type and Named Entity annotation tasks in a Question Answering context. We present the initial step of our research, in which we created the annotation guidelines. We therefore sho