Abstract
Semantic Dependency Parsing (SDP) is a deep semantic analysis task. A well-formed dependency scheme is the foundation of SDP. In this paper, we refine the HIT dependency scheme using stronger linguistic theories, yielding a dependency scheme with more clear hierarchy. To cover Chinese semantics more comprehensively, we make a break away from the constraints of dependency trees, and extend to graphs. Moreover, we utilize SVM to parse semantic dependency graphs on the basis of parsing of dependency trees.
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© 2014 Springer International Publishing Switzerland
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Ding, Y., Shao, Y., Che, W., Liu, T. (2014). Dependency Graph Based Chinese Semantic Parsing. In: Sun, M., Liu, Y., Zhao, J. (eds) Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data. NLP-NABD CCL 2014 2014. Lecture Notes in Computer Science(), vol 8801. Springer, Cham. https://doi.org/10.1007/978-3-319-12277-9_6
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DOI: https://doi.org/10.1007/978-3-319-12277-9_6
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-12276-2
Online ISBN: 978-3-319-12277-9
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