Evaluating the accuracy of an unlexicalized statistical parser on the PARC DepBank
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Wide-coverage efficient statistical parsing with ccg and log-linear models
Computational Linguistics
A dependency-based method for evaluating broad-coverage parsers
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Semi-supervised CCG lexicon extension
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
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In this paper we examine the process of developing a relational parser evaluation scheme, identifying a number of decisions which must be made by the designer of such a scheme. Making the process more modular may help the parsing community converge on a single scheme. Examples from the shared task at the COLING parser evaluation workshop are used to highlight decisions made by various developers, and the impact these decisions have on any resulting scoring mechanism. We show that quite subtle distinctions, such as how many grammatical relations are used to encode a linguistic construction, can have a significant effect on the resulting scores.