Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
Converting dependency structures to phrase structures
HLT '01 Proceedings of the first international conference on Human language technology research
Statistical parsing with an automatically-extracted tree adjoining grammar
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
The Penn Treebank: annotating predicate argument structure
HLT '94 Proceedings of the workshop on Human Language Technology
LTAG dependency parsing with bidirectional incremental construction
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
A dependency-driven parser for German dependency and constituency representations
PaGe '08 Proceedings of the Workshop on Parsing German
Developing an Arabic treebank: methods, guidelines, procedures, and tools
Semitic '04 Proceedings of the Workshop on Computational Approaches to Arabic Script-based Languages
CATiB: the Columbia Arabic Treebank
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
Supertagging: Using Complex Lexical Descriptions in Natural Language Processing
Supertagging: Using Complex Lexical Descriptions in Natural Language Processing
Phrase structure parsing with dependency structure
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Part-of-speech tagging from 97% to 100%: is it time for some linguistics?
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I
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We investigate the problem of automatically converting from a dependency representation to a phrase structure representation, a key aspect of understanding the relationship between these two representations for NLP work. We implement a new approach to this problem, based on a small number of supertags, along with an encoding of some of the underlying principles of the Penn Treebank guidelines. The resulting system significantly outperforms previous work in such automatic conversion. We also achieve comparable results to a system using a phrase-structure parser for the conversion. A comparison with our system using either the part-of-speech tags or the supertags provides some indication of what the parser is contributing.