Lessons from the development of a named entity recognizer for Basque

1. Alegría Loinaz, Iñaki
2. Arregi Uriarte, Olatz
3. Ezeiza Ramos, Nerea
4. Fernández, Ignacio

Export

Export

×

MLA

modern-language-association

APA

apa

Chicago

chicago-fullnote-bibliography

Harvard

harvard-cite-them-right

Vancouver

vancouver-author-date

---

RIS BibTex

Export

×

This document cannot be exported because it belongs to another portal.

Full text

lock_openRUA externo

DIALNET GOOGLE SCHOLAR lock_openRUA editor

More publications in: Procesamiento del lenguaje natural

Abstract

This paper presents the conclusions reached from the development of a system for Named Entity recognition in written Basque. In order to obtain this recognizer we have worked with different types of classifiers, one of them based on linguistic information and others constructed using machine learning methods. Taking these classifiers as starting point, and once we explain the different attempts done with each simple method using different information sources, we present the experiments we did combining those single methods in order to improve the performance and obtain a more robust system. Finally, we explain some conclusions and lessons we have learned from all these experiments, especially useful when dealing with named entity recognition in languages others than English.

Data source: Dialnet