Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Automatic event recognition and extraction is an important topic in current research on topic mining of ancient classics. Among them, the recognition of event trigger words is a basic work, which determined the quality of event extraction. This article aims to explore the general methods of automatic recognition and classification of event trigger words in ancient classics. [Method/process] Firstly, we explored the method of trigger verb classification construction by LDA topic clustering, which was carried out on the ancient classics combined with qualitative analysis. After the classification schema was confirmed, we building a preliminary seeds set of trigger words based on the clustering results. Then we expanded the trigger verb seeds set by the semantic similarity calculation on the ancient classics text resources. In the experiment, we took Zuo Zhuan as the experiment data sources, which is an important ancient classics in the Period of Chunqiu. The experiment tested the results of trigger verb classification construction and the expanding efficiency of trigger verb from the seeds set. [Result/conclusion] The results show that the method proposed in this paper is feasible and effective, and the event trigger word set constructed based on this has a high degree of credibility. The sample size and scope of the experiment can be further expanded in the future.
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