Abstract
Emotional knowledge corpus will provide data support for deep understanding of text. However, the problems of incomplete coverage and lacking of emotional skeleton are found from semantics, and from the perspective of pragmatic, the scarcity problem is more serious. To adapt literary works, we expand the existing emotional lexicon, and construct sentimental phrase knowledge corpus and discourse-based sentimental collocation networks from the perspective of semantics. In addition, the rhetoric is an important component of pragmatics, so the emotional knowledge corpus based on the rhetoric is constructed. Finally, with the emotional knowledge corpus, a comprehensive and accurate answer for the reading and appreciating question is obtained.
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Acknowledgments
The authors would like to thank all the students’ hard work who participate the corpus’s labelling including Cheng Qi, Luo Feng, Wang Yanjie, Wen Xin, Xing Ying, Wen Zhi, Lu Xin. Also thank all anonymous reviewers for their valuable comments and suggestions which have significantly improved the quality and presentation of this paper. This work was supported by the National Natural Science Foundation of China (61672331, 61573231, 61672331); the National High-Tech Research and Development Program (863 Program) (2015AA011808).
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Chen, X., Li, Y., Wang, S., Li, D., Mu, W. (2018). Emotional Knowledge Corpus Construction for Deep Understanding of Text. 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_57
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