, Afin d'exploiter les dépendances entre les mentions d'une même entité, nous définissons également le prédicat bloc suivant : -entityMention(em, e) : la mention em fait référence à l

, ainsi que les mêmes prédicats blocs de phrase et de document que pour la prédiction globale de déclencheurs. Le prédicat cible est : -isArg(w, t, em, r ) : em tient le rôle r dans l

, Règles À partir des prédicats définis précédemment, nous introduisons les règles et contraintes fortes suivantes : 1. contrainte forte : une entité ne peut tenir un rôle que dans un événement détecté : ¬isTriggerType(w, t) ? ¬isArg

, si un déclencheur d'un événement t est présent dans une phrase et que l'association phrastique est forte avec un rôle r prédit localement, la mention em est bien du type r : isTriggerType(w1,t1) ? candArg(w2,t2,em2,r2) ? sentLevelEventArg(t1,r2) ? inSent(w1, s) ? inSent(em2, s) ? isArg

, si un déclencheur d'un événement est présent dans un document et que l'association au niveau document est forte avec le rôle d'un candidat au sein du même document

, si une mention d'entité em1 joue un rôle r 1 et qu'une autre mention, vol.2

, si une mention em1 joue un r 1 et qu'elle fait partie d'un candidat dont le r 2 est fortement associé au r 1 au niveau phrastique alors le candidat est bien un argument : isArg(w1, t1, em, r1) ? candArg(w2, t2, em, r2) ? sentLevelArgArg

, Comme dans la précédente expérience, il est nécessaire de produire plusieurs statistiques pour constituer les observations de certains prédicats

, Certains événements étant très rares à l'échelle du jeu de données, leurs arguments Publications Plusieurs des contributions présentées dans ce manuscrit ont été publiées dans des journaux ou des conférences à comité de lecture

. Kodelja, Une première version courte de l'état de l'art présenté dans le chapitre 1 a été publiée dans l'édition 2017 des Rencontres des, Jeunes Chercheurs en Intelligence Artificielle (RJ-CIA, 2017.

. Kodelja, Les expériences du chapitre 2 ont été réalisées dans le cadre de la campagne d'évaluation TAC 2017 pour laquelle nous avons produit un rapport technique, 2017.

(. Kodelja, Les travaux présentés dans le chapitre 3 ont été publiés dans un article long présenté lors de l'édition 2018 de la conférence sur le Traitement Automatique des Langues Naturelles (TALN), 2018.

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