Titre :

An End-to-End Approach for Full Bridging Resolution

Auteur(s) :

Renner, Joseph [Auteur]
Machine Learning in Information Networks [MAGNET]
Trivedi, Priyansh [Auteur]
Machine Learning in Information Networks [MAGNET]
Semantic Analysis of Natural Language [SEMAGRAMME]
Maheshwari, Gaurav [Auteur]
Machine Learning in Information Networks [MAGNET]
Gilleron, Rémi [Auteur]
Machine Learning in Information Networks [MAGNET]
Denis, Pascal [Auteur]
Machine Learning in Information Networks [MAGNET]

Éditeur(s) ou directeur(s) scientifique(s) :

Sopan Khosla
Ramesh Manuvinakurike
Vincent Ng
Massimo Poesio
Michael Strube
Carolyn Rosé

Titre de la manifestation scientifique :

Proceedings of the CODI-CRAC 2021 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue

Ville :

Punta Cana

Pays :

République dominicaine

Date de début de la manifestation scientifique :

2021-11-10

Titre de la revue :

Proceedings of the CODI-CRAC 2021 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue

Éditeur :

Association for Computational Linguistics

Date de publication :

2021-11

Discipline(s) HAL :

Informatique [cs]/Informatique et langage [cs.CL]
Informatique [cs]/Apprentissage [cs.LG]

Résumé en anglais : [en]

In this article, we describe our submission to the CODI-CRAC 2021 Shared Task on Anaphora Resolution in Dialogues – Track BR (Gold). We demonstrate the performance of an end-to-end transformer-based higher-order coreference ...
Lire la suite >In this article, we describe our submission to the CODI-CRAC 2021 Shared Task on Anaphora Resolution in Dialogues – Track BR (Gold). We demonstrate the performance of an end-to-end transformer-based higher-order coreference model finetuned for the task of full bridging. We find that while our approach is not effective at modeling the complexities of the task, it performs well on bridging resolution, suggesting a need for investigations into a robust anaphor identification model for future improvements.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL