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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 15 of 15 1 Pruning and repopulating a lexical taxonomy: experiments in Spanish, English and French Nazar, Rogelio; Balvet, Antonio; Ferraro, Gabriela... In: ISSN: 0334-1860 ; EISSN: 2191-026X ; Journal of Intelligent Systems ; https://halshs.archives-ouvertes.fr/halshs-03033309 ; Journal of Intelligent Systems, Walter de Gruyter, 2020, ⟨10.1515/jisys-2020-0044⟩ (2020) BASE Show details 2 Pruning and repopulating a lexical taxonomy: experiments in Spanish, English and French Nazar, Rogelio; Balvet, Antonio; Ferraro, Gabriela... In: ISSN: 0334-1860 ; EISSN: 2191-026X ; Journal of Intelligent Systems ; https://hal.archives-ouvertes.fr/hal-03088411 ; Journal of Intelligent Systems, Walter de Gruyter, 2020, 30 (1), pp.376-394. ⟨10.1515/jisys-2020-0044⟩ (2020) BASE Show details 3 Lightme: Analysing Language in Internet Support Groups for Mental Health ... Ferraro, Gabriela; Gee, Brendan Loo; Ji, Shenjia. - : arXiv, 2020 BASE Show details 4 Lightme: analysing language in internet support groups for mental health Ferraro, Gabriela; Loo Gee, Brendan; Ji, Shenjia... In: Health Inf Sci Syst (2020) BASE Show details 5 Towards Distributional Semantics-Based Classification of Collocations for Collocation Dictionaries Wanner, Leo; Ferraro, Gabriela; Moreno, Pol In: International Journal of Lexicography 30 (2017) 2, 167-186 IDS OBELEX meta Show details 6 Segmentation of patent claims for improving their readability Ferraro, Gabriela; Suominen, Hanna; Nualart, Jaume In: Segmentation of patent claims for improving their readability (2015) BASE Show details 7 Segmentation of patent claims for improving their readability Ferraro, Gabriela; Suominen, Hanna; Nualart, Jaume In: Segmentation of patent claims for improving their readability (2015) BASE Show details 8 Task 1 of the CLEF eHealth Evaluation Lab 2014 Suominen, Hanna; Schreck, Tobias; Leroy, Gondy... In: Task 1 of the CLEF eHealth Evaluation Lab 2014 Visual-Interactive Search andExploration of eHealth Data (2015) BASE Show details 9 Task 1 of the CLEF eHealth Evaluation Lab 2014 Suominen, Hanna; Schreck, Tobias; Leroy, Gondy... In: Task 1 of the CLEF eHealth Evaluation Lab 2014 Visual-Interactive Search andExploration of eHealth Data (2015) BASE Show details 10 Finding expertise using online community dialogue and the Duality of Expertise Niemann, Michael. - : Association for Computational Linguistics, 2014 BASE Show details 11 Labeling semantically motivated clusters of verbal relations ; Etiquetado de clusters de relaciones verbales motivados semánticamente Ferraro, Gabriela; Wanner, Leo. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2012 Abstract: El clustering de documentos es un campo de investigación popular en los ámbitos del Procesamiento del Lenguaje Natural, la Minería de Datos y la Recuperación de información (RI). El problema de agrupar unidades léxicas mediante clustering ha sido menos estudiado y menos aún, el problema de etiquetar los clusters. Sin embargo, en nuestra aplicación que trata sobre la extracción de tuplas de relaciones para ser usadas como entrada a programas para dibujar diagramas de bloques o mapas conceptuales, este problema es fundamental. La valoración de varias estrategias de etiquetado de clusters de documentos nos revela que algunas de estas técnicas pueden ser también aplicadas para etiquetar nuestros clusters, compuestos por verbos semánticamente similares. Para confirmar esta suposición, llevamos a cabo una serie de experimentos y evaluamos su rendimiento contra baselines y un goldstandard de clusters etiquetados. ; Document clustering is a popular research field in Natural Language Processing, Data Mining and Information Retrieval. The problem of lexical unit (LU) clustering has been less addressed, and even less so the problem of labeling LU clusters. However, in our application that deals with the distillation of relational tuples from patent claims as input to block diagram or a concept map drawing programs, this problem is central. The assessment of various document cluster labeling techniques lets us assume that despite some significant differences that need to be taken into account some of these techniques may also be applied to verbal relation cluster labeling we are concerned with. To confirm this assumption, we carry out a number of experiments and evaluate their outcome against baselines and gold standard labeled clusters. Keyword: Clasificación de relaciones; Cluster labeling; Clustering; Etiquetado de clusters; Lenguajes y Sistemas Informáticos; Relation classification URL: http://hdl.handle.net/10045/23928 BASE Hide details 12 Towards deep content extraction from specialized discourse : the case of verbal relations in patent claims Ferraro, Gabriela. - : Universitat Pompeu Fabra, 2012 In: TDX (Tesis Doctorals en Xarxa) (2012) BASE Show details 13 Error analysis for the improvement of subject ellipsis detection ; Análisis de errores para mejorar la detección de elipsis de sujeto Rello, Luz; Ferraro, Gabriela; Burga, Alicia. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2011 BASE Show details 14 Error analysis for the improvement of subject ellipsis detection Rello, Luz, 1984-; Ferraro, Gabriela; Burga Díaz, Alicia. - : Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN) BASE Show details 15 A first approach to the automatic detection of zero subjects and impersonal constructions in portuguese Rello, Luz, 1984-; Ferraro, Gabriela; Gayo, Iria. - : Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN) BASE Show details

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