Automatic Training Corpus Generation Method of Named Entity Recognition Using Knowledge-Bases

박영민,; 김예진,; Kang, Sangwoo; Seo, Jung Yun

doi:10.19066/cogsci.2016.27.1.002

Cited by 2 publications

(2 citation statements)

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“…The knowledge base is useful for understanding the vocabulary or the expansion of the information possessed in the QA system or the intelligent services (Bao et al, 2014;Zhang et al, 2016;Park et al, 2016).…”

Section: Related Workmentioning

confidence: 99%

“…They proposed Collaborative Knowledge Base Embedding (CKE) to jointly learn the latent representations in collaborative filtering as well as items' semantic representations from the knowledge base. Park (Park et al, 2016;Zesch et al, 2007;Lehmannm et al, 2015;Rebele et al, 2016;Ponzetto and Strube, 2013;Wang and Kim, 2017;Tezcan Kardas and Sadik, 2018;Vafa et al, 2018;Wadmany and Melamed, 2018;Wyatt et al, 2018;Yang et al, 2017) proposed a method to automatically generate the object name recognition corpus using knowledge base. Two methods are applied according to the type of knowledge base.…”

Section: Published By Sciedu Pressmentioning

confidence: 99%

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Building a Knowledge Base for QA System by Linking Korean Vocabulary and Wikipedia

Lee¹,

Kim²,

Yang³

2019

IJHE

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For a QA system it's very important to have a notion of vocabulary used in questions and for building correct answers. Especially, when a word represents a concept, one can use related lexical instances to understand it and further extend the knowledge by using the associated information. In this work, we suggest a process of building a knowledge base for such concepts as people, organizations, and places, and linking their instances to Wikipedia articles. We also develop a workbench for KB building. This workbench should efficiently support all features needed to collect necessary data and build the knowledge base. We have created 150,941 links to Korean Wikipedia for 2,394 instances of Korean vocabulary. This KB can be used in QA systems to extend questions, while the workbench can be used to build the KB itself.

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Section: Related Workmentioning

confidence: 99%