Corpus-Based Acquisition of Relative Pronoun Disambiguation Heuristics (1992) [14 citations — 7 self]
http://acl.ldc.upenn.edu/P/P92/P92-1028.pdf
http://www.cs.cornell.edu/Info/People/cardie/paper
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author = {Claire Cardie},
title = {Corpus-Based Acquisition of Relative Pronoun Disambiguation Heuristics},
booktitle = {University of Delaware, Newark, DE. Association for Computational Linguistics},
year = {1992},
pages = {216--223}
}
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Abstract:
This paper presents a corpus-based approach for deriving heuristics to locate the antecedents of relative pronouns. The technique duplicates the performance of hand-coded rules and requires human intervention only during the training phase. Because the training instances are built on parser output rather than word cooccurrences, the technique requires a small number of training examples and can be used on small to medium-sized corpora. Our initial results suggest that the approach may provide a general method for the automated acquisition of a variety of disambiguation heuristics for natural language systems, especially for problems that require the assimilation of syntactic and semantic knowledge. 1 INTRODUCTION State-of-the-art natural language processing (NLP) systems typically rely on heuristics to resolve many classes of ambiguities, e.g., prepositional phrase attachment, part of speech disambiguation, word sense disambiguation, conjunction, pronoun resolution, and concept activat...
