Abstract
The extraction of event elements from political news texts can lay the foundation for the construction of knowledge graph of political news events, but the construction of event annotation corpus as the basis of event extraction research is not perfect. In this paper, we discuss the construction of an Event Annotation Corpus for Political News texts (EACPN). The initial corpus used in this paper comes from the 2019 political news text. Based on the investigation of the existing news event annotation corpus, and combined with the characteristics of the political news text, an annotation schema has been established. The schema covers five categories of event elements and sub-categories: visit, conference, investigation, telegram and letter, and foreign affairs activity. Accordingly, we formulated a complete specification for the annotation of political news texts, and then used the distributed annotation platform to carry out multiple rounds of data annotation. EACPN contains more than 20,000 pieces of political news with 128,000 event elements in about 290,000 sentences, and high consistency is achieved in the results.
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Acknowledgments
We thank the anonymous reviewers for their constructive comments, and gratefully acknowledge the support of National Key Research and Development Program (2017YFB1002101), National Natural Science Foundation of China (62006211), Henan Science and Technology Research Project (192102210260), Henan Medicine Science and Technology Research Plan: Provincial and Ministry Co-construction Project (SB201901021), Ministry of Education Humanities and Social Science Planning Project (20YJA740033), Henan Province Philosophy and Social Science Planning Project (2019BYY016).
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Wang, R., Ye, Y., Zhang, K., Zan, H., Hang, Y. (2022). Construction of Event Annotation Corpus for Political News Texts. In: Dong, M., Gu, Y., Hong, JF. (eds) Chinese Lexical Semantics. CLSW 2021. Lecture Notes in Computer Science(), vol 13250. Springer, Cham. https://doi.org/10.1007/978-3-031-06547-7_21
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