Abstract
Commonsense knowledge usually exists in standard human to human communication, and it is very helpful to most of natural language processing works. However, Chinese commonsense knowledge, especially emotion commonsense knowledge, is still an urgent demand. In this paper, we try to construct a Chinese emotion commonsense knowledge base, which optimizes the existed structure of emotion commonsense knowledge base. First, emotion commonsense are collected and extracted from corpus, then HowNet and Tongyici Cilin are used to expand its scale, finally manually labeled and verified annotation quality are completed. The experiment results on the corpus and dataset show that the Chinese emotion commonsense knowledge base is helpful to improve the results of text polarity and emotion classification to some degree and it can be used in other emotion analysis work.
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Acknowledgement
This research is supported by the National Natural Science Foundation of China (No: 61702080), the Fundamental Research Funds for the Central Universities (No. DUT17RC(3)016), Postdoctoral Science Foundation of China (2018M631788).
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Yang, L., Zhou, F., Lin, H., Wang, J., Zhang, S. (2018). Chinese Emotion Commonsense Knowledge Base Construction and Its Application. In: Hong, JF., Su, Q., Wu, JS. (eds) Chinese Lexical Semantics. CLSW 2018. Lecture Notes in Computer Science(), vol 11173. Springer, Cham. https://doi.org/10.1007/978-3-030-04015-4_11
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DOI: https://doi.org/10.1007/978-3-030-04015-4_11
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