Identification of rules for recognition of named entity classes in Mizo language

Jereemi Bentham, Partha Pakray, Goutam Majumder, Sunday Lalbiaknia, Alexander Gelbukh

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

13 Scopus citations

Abstract

Named Entity Recognition (NER) is a subtask of information extraction and known as entity identification, chunking, and extraction of classes. In this paper, we investigate the importance of Named Entities (NE) for Indian languages. We also give extra care for identification of rules for named entity classes in Mizo language. Named entity classes like person name, organization name, location name, designation, etc., is identified from a news corpus. An algorithm is developed for determining the rules for recognizing of NEs, and these rules are also compared with other Indian languages. Finally, it is tested over a small dataset and issues related to ambiguity in rules is also addressed.

Original languageEnglish
Title of host publicationProceedings of a Special Session - 15th Mexican International Conference on Artificial Intelligence
Subtitle of host publicationAdvances in Artificial Intelligence, MICAI 2016
EditorsGrigori Sidorov, Oscar Herrera Alcantara, Sabino Miranda Jimenez, Obdulia Pichardo Lagunas
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages8-13
Number of pages6
ISBN (Electronic)9781538677353
DOIs
StatePublished - 2016
Event15th Mexican International Conference on Artificial Intelligence, MICAI 2016 - Cancun, Quintana Roo, Mexico
Duration: 23 Oct 201629 Oct 2016

Publication series

NameProceedings of a Special Session - 15th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence, MICAI 2016

Conference

Conference15th Mexican International Conference on Artificial Intelligence, MICAI 2016
Country/TerritoryMexico
CityCancun, Quintana Roo
Period23/10/1629/10/16

Keywords

  • Indian Languages
  • Mizo Language
  • Named Entity Recognition
  • Natural Language Processing

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