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Improvement of Automatic Recognition of Context Meaning through Classification of Named Entities using Ontology Knowledge

  • Korean Language & Literature
  • 2019, (109), pp.37-59
  • DOI : 10.21793/koreall.2019.109.37
  • Publisher : Korean Language & Literature
  • Research Area : Humanities > Korean Language and Literature
  • Received : May 12, 2019
  • Accepted : June 14, 2019
  • Published : June 30, 2019

Sukeui Lee 1

1충남대학교

Accredited

ABSTRACT

The named entities(NE) of the special domain to be covered in this paper is the concept category name of the vocabulary. Ontology integrates the conceptualization of the derivation and expansion of lexical semantics. Therefore, the ontology data are suitable for understanding the meaning of vocabulary according to context. The purpose of this paper is to utilize ontology knowledge in the construction process of NE learning data of special domain that can be used in automation system for query response. This paper proposed a method to improve the accuracy of NE recognition in automatic natural language processing. [Child Care] domain document and consultation dialogue data was constructed, and tried to find out how to classify the NE necessary for automatic classification of documents and Q & A system. In Section 2, the necessity of subdivision of NE category and similarity with ontology were introduced to understand object name recognition through context information. Chapter 3 introduces the collection of [Childcare] documents and describes the results of analysis of specific vocabulary use. In chapter 4, how to refine the NE in the [Childcare] documents was shown and illustrated the necessity of classification. As a result, the accuracy rate of recognition of the object name in all 6000 sentences was over 95%.

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