In this paper, we propose two methods for analyzing errors in parsing. One is to classify errors into categories which grammar developers can easily associate with defects in grammar or a parsing model and thus its improvement. The other is to discover inter-dependencies among errors, and thus grammar developers can focus on errors which are crucial for improving the performance of a parsing model. The first method uses patterns of errors to associate them with categories of causes for those errors, such as errors in scope determination of coordination, PP-attachment, identification of antecedent of relative clauses, etc. On the other hand, the second method, which is based on re-parsing with one of observed errors corrected, assesses inter-dependencies among errors by examining which other errors were to be corrected as a result if a specific error was corrected. Experiments show that these two methods are complementary and by being combined, they can provide useful clues as to how to improve a given grammar.
CITATION STYLE
Hara, T., Miyao, Y., & Tsujii, J. (2009). Effective analysis of causes and inter-dependencies of parsing errors. In Proceedings of the 11th International Conference on Parsing Technologies, IWPT 2009 (pp. 180–191). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1697236.1697272
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