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Identifying Cascading Errors using Constraints in Dependency Parsing
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Dependency parsers are usually evaluated on attachment accuracy. Whilst easily interpreted, the metric does not illustrate the cascading impact of errors, where the parser chooses an incorrect arc, and is subsequently forced to choose further incorrect arcs elsewhere in the parse. We apply arc-level constraints to MSTparser and ZPar, enforcing the correct analysis of specific error classes, whilst otherwise continuing with decoding. We investigate the direct and indirect impact of applyingdoi:10.3115/v1/p15-1111 dblp:conf/acl/NgC15 fatcat:xztahnxfrrcv7kaibgxyr7xf4a