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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)
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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)
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3	Lightme: Analysing Language in Internet Support Groups for Mental Health ...
	Ferraro, Gabriela; Gee, Brendan Loo; Ji, Shenjia. - : arXiv, 2020
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4	Lightme: analysing language in internet support groups for mental health
	Ferraro, Gabriela; Loo Gee, Brendan; Ji, Shenjia...
	In: Health Inf Sci Syst (2020)
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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
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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)
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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)
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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)
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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)
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10	Finding expertise using online community dialogue and the Duality of Expertise
	Niemann, Michael. - : Association for Computational Linguistics, 2014
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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
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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)
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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
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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)
	Abstract: This paper presents an analysis of the errors of a machine learning method that allow us to propose changes to improve it in future developments. The evaluated system detects Spanish subject ellipsis and yields an accuracy of 85.3%. We extract the wrongly classified instances of our training data (1,001) and classify the errors. We perform an analysis of these instances taking into account the features and the linguistic patterns involved, which motivate the inclusion of new features and rules in the system. ; En este trabajo se presenta el análisis de los errores de un método de detección de elipsis de sujeto en español, con el fin de mejorar el sistema en el futuro. El sistema que se evalúa utiliza aprendizaje automático y alcanza una exactitud del 85,3%. El análisis se ha realizado extrayendo de los datos de aprendizaje las instancias que el sistema clasifica erróneamente (1.001), con objeto de establecer una tipología de errores. Cada tipo de error se ha considerado teniendo en cuenta tanto los valores de las características de las instancias como los patrones lingüísticos involucrados. Finalmente, se proponen nuevas características y un conjunto de reglas que puedan aportar una mayor precisión al método.
	Keyword: Análisis de errores; Análisis lingüístico; Aprendizaje automático; Construcción impersonal; Elipsis de sujeto; Error analysis; Impersonal construction; Linguistic analysis; Machine learning; Pronombre zero; Subject ellipsis; Zero pronoun
	URL: http://hdl.handle.net/10230/43843
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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)
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