Event coreference resolution is an important step for business intelligence. In this paper, we present a method for event coreference resolution based on heterogeneous information network. We adopt holistic, hierarchical clustering algorithm to solve this problem. In terms of similarity measure, the proposed method utilizes the relationship between entities, events, documents and data source, calculates event comprehensive similarity through the event properties similarity. Experiment on business event sets, characters event sets and product event sets, the experiment results show that the algorithm of this paper can effectively complete event coreference resolution, and has good recall and precision.
목차
Abstract 1. Introduction 2. Related Concepts and Definition 3. Two-Stage Event Coreference Resolution Model 3.1. The First Stage 3.2. The Second Stage 4. Similarity Measure 4.1. Similarity Measurement of Participants 4.2. Similarity Measurement of Time 4.3. Similarity Measurement of Location 4.4. Similarity Measurement of Event Entity Factor 4.5. Event Type Recognition 5. Experimental Results and Analysis 5.1. Data Set and Evaluation Criteria 5.2. Experimental Results and Analysis 6. Related Work 7. Summary References
키워드
event coreference resolutionheterogeneous information networkentity coreference resolutionevent fusionaggregation entity recognition
저자
Tao Sun [ School of information, Qilu University of Technology Jinan, Shandong 250353, China ]
보안공학연구지원센터(IJGDC) [Science & Engineering Research Support Center, Republic of Korea(IJGDC)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Grid and Distributed Computing
간기
격월간
pISSN
2005-4262
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Grid and Distributed Computing Vol.7 No.6