17HS3800, Development of Knowledge Evolutionary WiseQA Platform Technology for Knowledge Augmented Services,
Hyunki Kim
Abstract
본 발명의 상호참조해결 시스템은 입력된 문서에서 상호참조해결의 대상이 되는 데이터를 추출하기 위한 입력 데이터 추출부 및 추출된 데이터에 대하여 어텐션 매커니즘 기반 RNN(Recurrent Neural Network) 인코더-디코더 모델을 통해 상호참조해결을 수행하는 계층적 포인터 네트워크를 포함한다. 본 발명에 의하면, 계층적 포인터 네트워크를 이용하여 상호참조해결을 함으로써, 상호참조해결 성능을 향상시키는 효과가 있다.
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J. Kim et. al, "Trends in Lightweight Kernel for Many core Based High-Performance Computing", Electronics and Telecommunications Trends. Vol. 32, No. 4, 2017, KOGL Type 4: Source Indication + Commercial Use Prohibition + Change Prohibition
J. Sim et.al, “the Fourth Industrial Revolution and ICT – IDX Strategy for leading the Fourth Industrial Revolution”, ETRI Insight, 2017, KOGL Type 4: Source Indication + Commercial Use Prohibition + Change Prohibition
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