원문정보
초록
영어
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
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