Abstract
The method of lexical chains is the first time introduced to generate summaries from Chinese texts. The algorithm which computes lexical chains based on the HowNet knowledge database is modified to improve the performance and suit Chinese summarization. Moreover, the construction rules of lexical chains are extended, and relationship among more lexical items is used. The algorithm constructs lexical chains first, and then strong chains are identified and significant sentences are extracted from the text to generate the summary. Evaluation results show that the performance of the system has a notable improvement both in precision and recall compared to the original system.
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References
Morris, J., Hirst, G.: Lexical cohesion computed by thesaural relations as an indicator of the structure of the text. Computational Linguistics 17, 21–48 (1991)
Hirst, G., St-Onge, D.: Lexical chains as representation of context for the detection and correction of malapropisms. In: Fellbaum, C. (ed.) WordNet: An electronic lexical database and some of its applications, pp. 305–332. The MIT Press, Cambridge (1998)
Chan, S.W.: Extraction of salient textual patterns: Synergy between lexical cohesion and contextual coherence. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 34, 205–218 (2004)
Barzilay, R., Elhadad, M.: Using lexical chains for text summarization. In: Mani, I., Maybury, M.T. (eds.) Advances in Automatic Text Summarization, pp. 111–121. The MIT Press, Cambridge (1999)
Alam, H., Kumar, A., Nakamura, M., Rahman, F., Tarnikova, Y., Wilcox, C.: Structured and unstructured document summarization: Design of a commercial summarizer using lexical chains. In: 7th International Conference on Document Analysis and Recognition, Edinburgh, Scotland, UK, vol. 2, pp. 1147–1150 (2003)
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Chen, Y., Wang, X., Guan, Y. (2005). Automatic Text Summarization Based on Lexical Chains. In: Wang, L., Chen, K., Ong, Y.S. (eds) Advances in Natural Computation. ICNC 2005. Lecture Notes in Computer Science, vol 3610. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539087_125
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DOI: https://doi.org/10.1007/11539087_125
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28323-2
Online ISBN: 978-3-540-31853-8
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