Towards a Mention-Pair Model for Coreference Resolution in Portuguese

• Type: Article in International Conference Proceedings Book
• Date: 2017

Authors

Gil Rocha (Author) FEUP; Henrique Lopes Cardoso (Author) FEUP

Conference proceedings International

Title: PROGRESS IN ARTIFICIAL INTELLIGENCE (EPIA 2017)

Pages: 855-867

18th EPIA Conference on Artificial Intelligence (EPIA)

Univ Porto, Fac Engn, Porto, PORTUGAL, SEP 05-08, 2017

Indexing

ISI Web of Knowledge - 2 Citations

Scopus - 2 Citations

Other information

Authenticus ID: P-00N-10B

DOI: 10.1007/978-3-319-65340-2_69

Abstract (EN): The aim of coreference resolution is to automatically determine all linguistic expressions included in a piece of text that refer to the same entity. Following the mention-pair model, we employ machine learning techniques to address coreference resolution from text written in Portuguese. Based on a modest annotated corpus, we highlight the impact that different training-set creation strategies have on the quality of the predictions made by the system. We conclude that enriching the system with semantic-based features significantly improves the overall performance of the system.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 13