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Structural Disambiguation Based on Reliable Estimation of Strength of Association (1998)  (Make Corrections)  (1 citation)
Haodong Wu, Eduardo de Paiva Alves, Teiji Furugori
COLING-ACL



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Abstract: This paper proposes a new class-based method to estimate the strength of association in word co-occurrence for the purpose of structural disambiguation. To deal with sparseness of data, we use a conceptual dictionary as the source for acquiring upper classes of the words related in the co-occurrence, and then use t-scores to determine a pair of classes to be employed for calculating the strength of association. We have applied our method to determining dependency relations in Japanese and... (Update)

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.... quote) obj) referring doing please give (full stop) The structural ambiguity inherent in [ s] processing as discussed in (Wu, de Paiva Alves and Furugori, 1998) can also not be handled. However, we have not yet encountered an instance of this in the software manual domain....

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BibTeX entry:   (Update)

Wu, H., de Paiva Alves, E., & Furugori, T. (1998). Structural Disambiguation Based on Reliable Estimation of Strength Association. 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, Coling-ACL'98, Universit de Montral, Canada, 10-14 August 1998, 1416-1422. http://citeseer.ist.psu.edu/wu98structural.html   More

@inproceedings{ wu98structural,
    author = "Haodong Wu and Eduardo de Paiva Alves",
    title = "Structural Disambiguation Based on Reliable Estimation of Strength of Association",
    booktitle = "{COLING}-{ACL}",
    pages = "1416-1422",
    year = "1998",
    url = "citeseer.ist.psu.edu/wu98structural.html" }
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