Title :

An End-to-End Approach for Full Bridging Resolution

Author(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]

Scientific editor(s) :

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

Conference title :

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

City :

Punta Cana

Country :

République dominicaine

Start date of the conference :

2021-11-10

Journal title :

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

Publisher :

Association for Computational Linguistics

Publication date :

2021-11

HAL domain(s) :

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

English abstract : [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 ...
Show more >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.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

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

Source :

Harvested from HAL