1,887 research outputs found
Interview with Vidal Falcon - Part 02
Vidal Falcon was born in Rancho Puertecitas, Camargo, Tamaulipas, Mexico on April 28, 1887. Part 02 of the interview is a recording of Vidal Falcon reenacting his Pedimento de Matrimonio [pedida de mano].https://scholarworks.utrgv.edu/rgvoralhistories/1470/thumbnail.jp
Interview with Vidal Falcon - Part 01
Vidal Falcon was born in Rancho Puertecitas, Camargo, Tamaulipas, Mexico on April 28, 1887. They discuss old Spanish customs on asking a girl\u27s parents for their daughter\u27s hand in marriage. The intended groom was to sit in a committee of two or three men.https://scholarworks.utrgv.edu/rgvoralhistories/1469/thumbnail.jp
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A Get Well Soon Card from Vidal Falcon to Dr. Hector P. Garcia.
A Get Well Soon Card from Vidal Falcon to Dr. Hector P. Garcia
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A Christmas Card from Vidal and Mary Falcon to Dr. Hector P. Garcia.
A Christmas Card from Vidal and Mary Falcon to Dr. Hector P. Garcia
Présentation d'un document : le journal de Me Lucien Vidal-Naquet
A Document: Maître Lucien Vidal-Naquet's Journal.
The author here gives us brief biography of his father, Lucien Vidal-Naquet, a lawyer, and presents the journal he kept from September 1942 to February 1944. On May 15, 1944, Lucien Vidal-Naquet was deported to the internment camps of Baumettes, Drancy, and finally to Auschwitz, never to return. Lucien Vidal-Naquet was a "dejudaïzed Jewish bourgeois" (as wrote Raymond Aron) and French patriot appalled by the armistice and the Vichy regime. Prevented from practicing law from 1942 on he refused to flee danger the seriousness of which he fully appreciated.Vidal-Naquet Pierre. Présentation d'un document : le journal de Me Lucien Vidal-Naquet. In: Annales. Economies, sociétés, civilisations. 48ᵉ année, N. 3, 1993. pp. 501-512
Falcon 2.0
The Natural Language Processing (NLP) community has significantly contributed to the solutions for entity and relation recognition from a natural language text, and possibly linking them to proper matches in Knowledge Graphs (KGs). Considering Wikidata as the background KG, there are still limited tools to link knowledge within the text to Wikidata. In this paper, we present Falcon 2.0, the first joint entity and relation linking tool over Wikidata. It receives a short natural language text in the English language and outputs a ranked list of entities and relations annotated with the proper candidates in Wikidata. The candidates are represented by their Internationalized Resource Identifier (IRI) in Wikidata. Falcon 2.0 resorts to the English language model for the recognition task (e.g., N-Gram tiling and N-Gram splitting), and then an optimization approach for the linking task. We have empirically studied the performance of Falcon 2.0 on Wikidata and concluded that it outperforms all the existing baselines. Falcon 2.0 is open source and can be reused by the community; all the required instructions of Falcon 2.0 are well-documented at our GitHub repository (https://github.com/SDM-TIB/falcon2.0). We also demonstrate an online API, which can be run without any technical expertise. Falcon 2.0 and its background knowledge bases are available as resources at https://labs.tib.eu/falcon/falcon2/
FALCON: An entity and relation linking framework over DBpedia
We tackle the problem of entity and relation linking and present FALCON, a rule-based tool able to accurately map entities and relations in short texts to resources in a knowledge graph. FALCON resorts to fundamental principles of the English morphology (e.g., compounding and headword identification) and performs joint entity and relation linking against a short text. We demonstrate the benefits of the rule-based approach implemented in FALCON on short texts composed of various types of entities. The attendees will observe the behavior of FALCON on the observed limitations of Entity Linking (EL) and Relation Linking (RL) tools. The demo is available at https://labs.tib.eu/falcon/
Lorena Vidal Falcón, alumna de la carrera de Comunicación Audiovisual y Medios Interactivos, seleccionada para el Talent Campus - Argentina
La alumna Lorena Vidal Falcón, de la carrera de Comunicación Audiovisual y Medios Interactivos, ha sido seleccionada para el Talent Campus (uno de los principales eventos de encuentro y reflexión para los estudiantes y jóvenes profesionales de cine de América del Sur) en la categoría de Montajista. El Campus Talent Argentina es organizado por la Universidad del Cine y tendrá como sede la ciudad de Buenos Aires desde el 12 hasta el 16 de Abril de este año. Entre los participantes se encuentran directores, productores, sonidistas, críticos y periodistas sudamericanos.
Los participantes seleccionados podrán descubrir y profundizar acerca de las nuevas tendencias del cine contemporáneo desde una perspectiva teórica y práctica. Además, elaborarán proyectos propios con ayuda de expertos, y complementarán su experiencia en el campo cinematográfico participando del 15º Buenos Aires Festival Internacional de Cine Independiente –BAFICI-
Lorena Vidal Falcón, alumna de la carrera de Comunicación Audiovisual y Medios Interactivos, seleccionada para el Talent Campus - Argentina
La alumna Lorena Vidal Falcón, de la carrera de Comunicación Audiovisual y Medios Interactivos, ha sido seleccionada para el Talent Campus (uno de los principales eventos de encuentro y reflexión para los estudiantes y jóvenes profesionales de cine de América del Sur) en la categoría de Montajista. El Campus Talent Argentina es organizado por la Universidad del Cine y tendrá como sede la ciudad de Buenos Aires desde el 12 hasta el 16 de Abril de este año. Entre los participantes se encuentran directores, productores, sonidistas, críticos y periodistas sudamericanos.
Los participantes seleccionados podrán descubrir y profundizar acerca de las nuevas tendencias del cine contemporáneo desde una perspectiva teórica y práctica. Además, elaborarán proyectos propios con ayuda de expertos, y complementarán su experiencia en el campo cinematográfico participando del 15º Buenos Aires Festival Internacional de Cine Independiente –BAFICI-
Falcon 2.0 background knowledge - Wikidata labels alignments
The background knowledge of the Falcon 2.0 tool.The background knowledge is uploaded as an elasticsearch dump. The dump contains 48,042,867 alignments of Wikidata entities and their corresponding labels, and 15645 alignments of Wikidata predicates and their corresponding labels</div
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