Abstract
The Chinese Framework of Semantic Taxonomy and Description (FSTD) is a linguistic resource that stores lexical and predicate-argument semantics about events or states in Chinese text, developed with the application of knowledge acquisition from Chinese text in mind. In this paper we build a web information extraction system, called NkiExtractor, to evaluate FSTD experimentally. We use two metrics: grammar coverage measures whether there is a semantic category of FSTD that corresponds to an event description in text, and extraction precision measures whether the correct predicate-argument structure can be extracted from text. Experimental results show that FSTD is a fairly comprehensive and effective resource for knowledge acquisition. We also discuss future work for expanding FSTD and improving extraction precision of NkiExtractor.
The work is supported by NSFC grants (No. 91224006, No. 61173063, and No. 61203284) and a MOST grant (No. 201303107).
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References
Chinese framenet. http://sccfn.sxu.edu.cn/portal-en/home.aspx
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KnowItAll project. http://openie.allenai.org/
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Zang, L. et al. (2015). A Chinese Framework of Semantic Taxonomy and Description: Preliminary Experimental Evaluation Using Web Information Extraction. In: Zhang, S., Wirsing, M., Zhang, Z. (eds) Knowledge Science, Engineering and Management. KSEM 2015. Lecture Notes in Computer Science(), vol 9403. Springer, Cham. https://doi.org/10.1007/978-3-319-25159-2_25
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DOI: https://doi.org/10.1007/978-3-319-25159-2_25
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