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1
Pruning and repopulating a lexical taxonomy: experiments in Spanish, English and French
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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Pruning and repopulating a lexical taxonomy: experiments in Spanish, English and French
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 ...
Abstract: Background: Assisting moderators to triage harmful posts in Internet Support Groups is relevant to ensure its safe use. Automated text classification methods analysing the language expressed in posts of online forums is a promising solution. Methods: Natural Language Processing and Machine Learning technologies were used to build a triage post classifier using a dataset from Reachout mental health forum for young people. Results: When comparing with the state-of-the-art, a solution mainly based on features from lexical resources, received the best classification performance for the crisis posts (52%), which is the most severe class. Six salient linguistic characteristics were found when analysing the crisis post; 1) posts expressing hopelessness, 2) short posts expressing concise negative emotional responses, 3) long posts expressing variations of emotions, 4) posts expressing dissatisfaction with available health services, 5) posts utilising storytelling, and 6) posts expressing users seeking advice from ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
URL: https://arxiv.org/abs/2007.00824
https://dx.doi.org/10.48550/arxiv.2007.00824
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4
Lightme: analysing language in internet support groups for mental health
In: Health Inf Sci Syst (2020)
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5
Towards Distributional Semantics-Based Classification of Collocations for Collocation Dictionaries
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
In: Segmentation of patent claims for improving their readability (2015)
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7
Segmentation of patent claims for improving their readability
In: Segmentation of patent claims for improving their readability (2015)
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8
Task 1 of the CLEF eHealth Evaluation Lab 2014
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
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)
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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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