Abstract
This paper proposes a multi-feature constrained method (MFC) to acquire co-referent relations from large-scale Chinese corpora. The MFC has two phases: candidate relations extraction and verification. The extraction phase uses distribution distance, pattern homogeneity and coordination distribution features of co-referent target words to extract candidate relations from Chinese corpora. In the verification phase, we define an ontology for co-referent token words, and build a relation graph for all candidate relations. Both the ontology and the graph are integrated to generate individual, joint and reinforced strategies to verify candidate relations. Comprehensive experiments have shown that the MFC is practical, and can also be extended to acquire other types of relations.
This work is supported by the Natural Science Foundation (grant nos. 60273019, 60496326, 60573063, and 60573064), and the National 973 Programme (grants no. 2003CB317008 and G1999032701).
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© 2006 Springer-Verlag Berlin Heidelberg
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Tian, G., Cao, C., Liu, L., Wang, H. (2006). MFC: A Method of Co-referent Relation Acquisition from Large-Scale Chinese Corpora. In: Wang, L., Jiao, L., Shi, G., Li, X., Liu, J. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2006. Lecture Notes in Computer Science(), vol 4223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881599_157
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DOI: https://doi.org/10.1007/11881599_157
Publisher Name: Springer, Berlin, Heidelberg
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