(Enter summary)
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)
Context of citations to this paper: More
.... 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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