온톨로지 지식과 개체명 세분화를 통한 맥락의미 자동인식의 향상

• 영문명: Improvement of Automatic Recognition of Context Meaning through Classification of Named Entities using Ontology Knowledge
• 발행기관: 한국언어문학회
• 저자명: 이숙의(Lee, Suk-eui)
• 간행물 정보: 『한국언어문학』韓國言語文學 第99輯, 37~59쪽, 전체 23쪽
• 주제분류: 어문학 > 한국어와문학
• 파일형태: PDF
• 발행일자: 2016.12.31

영문 초록

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%.

목차

1. 서론

2. 개체명 범주의 세분화와 온톨로지

3. 문서 수집과 개체명 세분화

3.1 자료 수집 및 분석

3.2 개체명 세분화

4. 개체명 인식 언어자원 구축의 실제

5. 결론

키워드

Named Entities(NE) Ontology Context Meaning Automatic Recognition [Child Care] Domain Automatic Natural Language Processing