Natural language analysis by stochastic optimization: a progress report on project APRIL
Journal of Experimental & Theoretical Artificial Intelligence
Procedure for quantitatively comparing the syntactic coverage of English grammars
HLT '91 Proceedings of the workshop on Speech and Natural Language
Information Retrieval
A lightweight dependency analyzer for partial parsing
Natural Language Engineering
Three generative, lexicalised models for statistical parsing
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Statistical decision-tree models for parsing
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Definitional and human constraints on structural annotation of english*
Natural Language Engineering
Evaluating and integrating treebank parsers on a biomedical corpus
Software '05 Proceedings of the Workshop on Software
Dependency and phrasal parsers of the Czech language: a comparison
TSD'07 Proceedings of the 10th international conference on Text, speech and dialogue
Statistical parsing of morphologically rich languages (SPMRL): what, how and whither
SPMRL '10 Proceedings of the NAACL HLT 2010 First Workshop on Statistical Parsing of Morphologically-Rich Languages
SPMRL '10 Proceedings of the NAACL HLT 2010 First Workshop on Statistical Parsing of Morphologically-Rich Languages
Better Arabic parsing: baselines, evaluations, and analysis
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Effective parsing using competing CFG rules
TSD'11 Proceedings of the 14th international conference on Text, speech and dialogue
Out-of-the-box robust parsing of Portuguese
PROPOR'10 Proceedings of the 9th international conference on Computational Processing of the Portuguese Language
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Choosing an evaluation metric for parser design
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop
Discriminative strategies to integrate multiword expression recognition and parsing
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Simultaneous error detection at two levels of syntactic annotation
LAW VI '12 Proceedings of the Sixth Linguistic Annotation Workshop
Parsing models for identifying multiword expressions
Computational Linguistics
Enhancing czech parsing with verb valency frames
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
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The GEIG metric for quantifying the accuracy of parsing became influential through the Parseval programme, but many researchers have seen it as unsatisfactory. The Leaf-Ancestor (LA) metric, first developed in the 1980s, arguably comes closer to formalizing our intuitive concept of relative parse accuracy. We support this claim via an experiment that contrasts the performance of alternative metrics on the same body of automatically-parsed examples. The LA metric has the further virtue of providing straightforward indications of the location of parsing errors.