Character Entity Recognition Using Hybrid Binary-Particle Swarm Optimization and Conditional Random Field on Balinese Folklore Text

I. Made Satria Bimantara, Ngurah Agus Sanjaya ER*, Diana Purwitasari

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Identifying the character entities correctly in a story becomes extremely challenging since an entity can refer to a proper noun, a phrase, or a particular definition. This study proposes BPSO-CRF, a hybrid NER method to extract character entities in Balinese stories. In addition, we develop a training dataset for balinese character named entities recognition task. We compare the proposed method against three baseline methods. Overall, BPSO-CRF obtains a relatively better recognition rate compared to the baseline method. Furthermore, only a few numbers of contextual features are relevant to improve the performance of the baseline CRF model.

Original languageEnglish
Title of host publicationInformation Integration and Web Intelligence - 25th International Conference, iiWAS 2023, Proceedings
EditorsPari Delir Haghighi, Eric Pardede, Gillian Dobbie, Vithya Yogarajan, Ngurah Agus Sanjaya ER, Gabriele Kotsis, Ismail Khalil
PublisherSpringer Science and Business Media Deutschland GmbH
Pages128-133
Number of pages6
ISBN (Print)9783031483158
DOIs
Publication statusPublished - 2023
Event25th International Conference on Information Integration and Web Intelligence, iiWAS 2023 - Denpasar, Indonesia
Duration: 4 Dec 20236 Dec 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14416 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference25th International Conference on Information Integration and Web Intelligence, iiWAS 2023
Country/TerritoryIndonesia
CityDenpasar
Period4/12/236/12/23

Keywords

  • Balinese Folklore NER dataset
  • Charater Named Entity Recognition
  • Hybrid Binary Particle Swarm Optimization – Conditional Random Field (BPSO-CRF)

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