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Unsupervised Parse Selection for HPSG
Conference on Empirical Methods in Natural Language Processing
Parser disambiguation with precision grammars generally takes place via statistical ranking of the parse yield of the grammar using a supervised parse selection model. In the standard process, the parse selection model is trained over a hand-disambiguated treebank, meaning that without a significant investment of effort to produce the treebank, parse selection is not possible. Furthermore, as treebanking is generally streamlined with parse selection models, creating the initial treebank withoutdblp:conf/emnlp/DridanB10 fatcat:z6ynkhwianawxlgwstzvghhiei