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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 – 4 of 4 1 Using Dependency Syntax-Based Methods for Automatic Detection of Psychiatric Comorbidities Haralambous, Yannis; Lemey, Christophe; Lenca, Philippe... In: Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric/developmental impairments ; https://hal-imt-atlantique.archives-ouvertes.fr/hal-02861753 ; Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric/developmental impairments, May 2020, Marseille, France. pp.142-150 ; https://spraakbanken.gu.se/en/rapid-2020 (2020) BASE Show details 2 Towards a DRS Parsing Framework for French Le Ngoc, Luyen; Haralambous, Yannis; Lenca, Philippe In: Proceedings Advances in Natural Language Processing ; SNAMS 2019 : Sixth International Conference on Social Networks Analysis, Management and Security ; https://hal.archives-ouvertes.fr/hal-02280800 ; SNAMS 2019 : Sixth International Conference on Social Networks Analysis, Management and Security, Oct 2019, Granada, Spain. ⟨10.1109/SNAMS.2019.8931868⟩ (2019) BASE Show details 3 Arabic Language Text Classification Using Dependency Syntax-Based Feature Selection Haralambous, Yannis; ELIDRISSI, Yassir; Lenca, Philippe In: Proceedings CITALA 2014 : 5ème Conférence Internationale sur le Traitement Automatique de la Langue Arabe ; CITALA 2014 : 5ème Conférence Internationale sur le Traitement Automatique de la Langue Arabe ; https://hal.archives-ouvertes.fr/hal-01185094 ; CITALA 2014 : 5ème Conférence Internationale sur le Traitement Automatique de la Langue Arabe, Nov 2014, Oujda, Morocco. pp.31 - 40 (2014) Abstract: International audience ; We study the performance of Arabic text classification combining various techniques: (a) tfidf vs. dependency syntax, for feature selection and weighting; (b) class association rules vs. support vector machines, for classification. The Arabic text is used in two forms: rootified and lightly stemmed. The results we obtain show that lightly stemmed text leads to better performance than rootified text; that class association rules are better suited for small feature sets obtained by dependency syntax constraints; and, finally, that support vector machines are better suited for large feature sets based on morphological feature selection criteria. Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]; Classification de texte; Langue arabe; Règles d'association; Support Vector Machine; Syntaxe de dépendances; Traitement automatique de langue URL: https://hal.archives-ouvertes.fr/hal-01185094 BASE Hide details 4 Human centered processes Lenca, Philippe. - : HAL CCSD, 1999. : ., 1999 In: https://hal.archives-ouvertes.fr/hal-01769544 ; pp.515, 1999 (1999) BASE Show details

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