Рад у зборнику

рецензирана

енглески

Branislava Šandrih, undefined undefined, Cvetana Krstev, Ranka Stanković, undefined undefined, undefined undefined

Development and Evaluation of Three Named Entity Recognition Systems for Serbian - The Case of Personal Names

Proceedings - Natural Language Processing in a Deep Learning World

Incoma Ltd., Shoumen, Bulgaria

2019

In this paper we present a rule- and lexicon-based system for the recognition of Named Entities (NE) in Serbian newspaper texts that was used to prepare a gold standard annotated with personal names. It was further used to prepare training sets for four different levels of annotation, which were further used to train two Named Entity Recognition (NER) systems: Stanford and spaCy. All obtained models, together with a rule- and lexiconbased system were evaluated on two sample texts: a part of the gold standard and an independent newspaper text of approximately the same size. The results show that rule- and lexicon-based system outperforms trained models in all four scenarios (measured by F1), while Stanford models have the highest recall. The produced models are incorporated into a Web platform NER&Beyond that provides various NE-related functions.

1060

1068

10.26615/978-954-452-056-4_122

NER, Named Entity Recognition Systems, Serbian, Personal Names

NER, Sistemi za prepoznavanje imenovanih entiteta, srpski, lična imena

http://dx.doi.org/10.26615/978-954-452-056-4_122

М30

М33

Отворени приступ

Creative Commons – Attribution-Share Alike 4.0 International

.pdf