Coreference Resolution: Toward End-to-End and Cross-Lingual Systems

• Tipo: Artigo em Revista Científica Internacional
• Data: 2020

Autores

Cruz, AF (Autor) Outra; Rocha, G (Autor) Outra; Henrique Lopes Cardoso (Autor) FEUP

Revista

Título: Information (Switzerland)

Vol. 11

Página Final: 74

ISSN: 2078-2489

Editora: MDPI

Indexação

ISI Web of Knowledge - 5 Citações

Scopus - 7 Citações

Outras Informações

ID Authenticus: P-00R-P58

DOI: 10.3390/info11020074

Abstract (EN): The task of coreference resolution has attracted considerable attention in the literature due to its importance in deep language understanding and its potential as a subtask in a variety of complex natural language processing problems. In this study, we outlined the field's terminology, describe existing metrics, their differences and shortcomings, as well as the available corpora and external resources. We analyzed existing state-of-the-art models and approaches, and reviewed recent advances and trends in the field, namely end-to-end systems that jointly model different subtasks of coreference resolution, and cross-lingual systems that aim to overcome the challenges of less-resourced languages. Finally, we discussed the main challenges and open issues faced by coreference resolution systems.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 23