An End-to-End Approach for Full Bridging ...
Document type :
Communication dans un congrès avec actes
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]
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
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]
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 >
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 :
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