Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Patricia Velázquez-Morales"'
Publikováno v:
Educación y Salud Boletín Científico Instituto de Ciencias de la Salud Universidad Autónoma del Estado de Hidalgo. 9:209-213
La paraoxonasa 1 (PON1) es una enzima que se expresa en hígado y que circula por el torrente sanguíneo asociada a las lipoproteínas de alta densidad (HDL). La PON1 tiene la capacidad de proteger contra el desarrollo de la enfermedad cardiovascular
Publikováno v:
Entretextos. 7:1-10
El estado de nutrición es un fenotipo resultado de la interacción entre el genotipo y el medio ambiente, sobre todo de la dieta. Las variaciones genéticas de cada persona determinan sus características físicas y la forma en que se lleva a cabo e
Autor:
Svetlana Kochkina, Ilaria Brunetti, Elvys Linhares Pontes, Peter Peinl, Nouf Khashman, Priyanka Rawat, Juan-Manuel Torres-Moreno, Fen Zhou, Elaine Ménard, Pierre Jourlin, Patricia Velázquez-Morales
Publikováno v:
Knowledge Organization
Knowledge Organization, Ergon Verlag, 2016, 43 (1), pp.22--34
Scopus-Elsevier
Knowledge Organization, Ergon Verlag, 2016, 43 (1), pp.22--34
Scopus-Elsevier
International audience; Multilingual controlled vocabularies are rare and often very limited in the choice of languages offered. TIIARA (Taxonomy for Image Indexing and RetrievAl) is a bilingual taxonomy developed for image indexing and retrieval. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18099255cc6aea68e3511bdcb6939038
https://hal.archives-ouvertes.fr/hal-01473130
https://hal.archives-ouvertes.fr/hal-01473130
Autor:
Iria da Cunha, Horacio Saggion, Juan-Manuel Torres-Moreno, Patricia Velázquez-Morales, Eric SanJuan
Publikováno v:
Polibits. 42:13-19
We study a new content–based method for the evaluation of text summarization systems without human models which is used to produce system rankings. The research is carried out using a new content–based evaluation framework called Fresa to compute
Publikováno v:
Focused Retrieval of Content and Structure ISBN: 9783642357336
INEX
INEX
The Enertex system is based on a statistical physics approach. It transforms a document on a spins (words present/absent) system. A summary is obtained using the sentences with large spins interactions. In another way, the Cortex system is constructe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::308bdf54cb2fc29f0753386f97d1b450
https://doi.org/10.1007/978-3-642-35734-3_23
https://doi.org/10.1007/978-3-642-35734-3_23
Autor:
Gerardo Sierra, Juan-Manuel Torres-Moreno, Iria da Cunha, Eric SanJuan, Patricia Velázquez-Morales, Alejandro Molina
Publikováno v:
Advances in Artificial Intelligence ISBN: 9783642253232
MICAI (1)
MICAI (1)
Earlier studies have raised the possibility of summarizing at the level of the sentence. This simplification should help in adapting textual content in a limited space. Therefore, sentence compression is an important resource for automatic summarizat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5db1556103d876dabd77f721d9678913
https://doi.org/10.1007/978-3-642-25324-9_27
https://doi.org/10.1007/978-3-642-25324-9_27
Publikováno v:
Terminàlia; Núm. 1 : juliol 2010; p. 26-32
BASE-Bielefeld Academic Search Engine
BASE-Bielefeld Academic Search Engine
En aquest article presentem un nou algoritme per al resum automàtic de textos especialitzats, que combina recursos terminològics (l'ús de l'extractor de termes YATE) i semàntics (consulta de l'ontologia lèxica EuroWordNet). Apliquem l'algoritme
Publikováno v:
Holzforschung. 54:541-543
Publikováno v:
Advances in Natural Language Processing ISBN: 9783540852865
GoTAL
GoTAL
In this paper, we propose an efficient strategy for summarizing scientific documents in Organic Chemistry that concentrates on numerical treatments. We present its implementation named yachs (Yet Another Chemistry Summarizer) that combines a specific
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11e7d1e2aa955e53358d33d47b56e749
https://doi.org/10.1007/978-3-540-85287-2_9
https://doi.org/10.1007/978-3-540-85287-2_9
Publikováno v:
Natural Language Processing and Information Systems ISBN: 9783540733508
NLDB
NLDB
In this paper, we target document ranking in a highly technical field with the aim to approximate a ranking that is obtained through an existing ontology (knowledge structure). We test and combine symbolic and vector space models (VSM). Our symbolic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::276c72ce9299f19cde559b5db773c6c7
https://doi.org/10.1007/978-3-540-73351-5_22
https://doi.org/10.1007/978-3-540-73351-5_22