Squibs and discussions: the DOP Estimation method is biased and inconsistent
Computational Linguistics
Using an annotated corpus as a stochastic grammar
EACL '93 Proceedings of the sixth conference on European chapter of the Association for Computational Linguistics
An efficient implementation of a new DOP model
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
CoNLL-X '06 Proceedings of the Tenth Conference on Computational Natural Language Learning
Unsupervised parsing with U-DOP
CoNLL-X '06 Proceedings of the Tenth Conference on Computational Natural Language Learning
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We analyze estimation methods for Data-Oriented Parsing, as well as the theoretical criteria used to evaluate them. We show that all current estimation methods are inconsistent in the "weight-distribution test", and argue that these results force us to rethink both the methods proposed and the criteria used.