Abstract
The Event extraction is the most important research direction in information extraction field. In order to understand the difficulty of bilingual events, the method of extracting bilingual event graphs is proposed. We use trigger words to identify sub-events in bilingual news events. Define an event association graph with a sub-event as an event graph node to construct a single event association. With the help of the Chinese and Vietnamese dictionaries and entities, the relations between the two events is constructed and the event graph is used to calculate the intensity of the event graph. Experiments on the relations between Chinese and Vietnamese events are carried out. The results show that the event extraction graph is used to analyze the correlation between Chinese and Vietnamese events. Finally, it has achieved good results in the identification of event relations.
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Acknowledgments
This work was supported by National Nature Science Foundation (Grant Nos. 61472168, 61672271, 61732005, 61761026), and Science and Technology Innovation Talents Fund Projects of Ministry of Science and Technology (Grant No. 2014HE001), Innovation Team Projects of Yunnan Province (Grant No. 2014HC012).
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Che, W., Yu, Z., Li, X., Gao, S. (2019). Research on Chinese and Vietnamese Bilingual Event Graph Extraction Method. In: Deng, K., Yu, Z., Patnaik, S., Wang, J. (eds) Recent Developments in Mechatronics and Intelligent Robotics. ICMIR 2018. Advances in Intelligent Systems and Computing, vol 856. Springer, Cham. https://doi.org/10.1007/978-3-030-00214-5_44
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DOI: https://doi.org/10.1007/978-3-030-00214-5_44
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