Abstract
Aiming at solving the problem that the single level back-of-the-book index system is not enough to fully explore the semantics relations between the index terms, a method to extract the hierarchical relations between the index terms based on combination of lexical-syntactic analysis and text structure features is proposed in this paper. It first organizes index terms according to the text structure features, and constructs the indexed term pairs with hierarchical relations step by step. Then based on word vectors, the semantic similarity of paired index terms is calculated to eliminate the misidentified pairs. Finally, the index term pairs with hierarchical relations are optimized in the direct graph to remove redundant and conflict relations, and the hierarchical index system is built at last. Compared with the other results, our method improves precision rate and F value by 11.44% and 5.65% respectively.
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Acknowledgements
This paper was supported by the National Natural Science Foundation of China - The Intelligent Analysis and Optimization Method for Re-flowable Documents (61672105) and the National Key R&D Program of China (2018YFB1004100).
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Li, N., Tian, M., Lv, S. (2020). Extracting Hierarchical Relations Between the Back-of-the-Book Index Terms. In: Hong, JF., Zhang, Y., Liu, P. (eds) Chinese Lexical Semantics. CLSW 2019. Lecture Notes in Computer Science(), vol 11831. Springer, Cham. https://doi.org/10.1007/978-3-030-38189-9_45
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DOI: https://doi.org/10.1007/978-3-030-38189-9_45
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