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On Different Approaches to Syntactic Analysis Into Bi-Lexical Dependencies. An Empirical Comparison of Direct, PCFG-Based, and HPSG-Based Parsers

Ivanova, Angelina; Oepen, Stephan; Dridan, Rebecca; Flickinger, Dan; Øvrelid, Lilja
Chapter; PublishedVersion; Peer reviewed
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65_pdfsam_IWPTproceedings.pdf (562.7Kb)
Year
2013
Permanent link
http://urn.nb.no/URN:NBN:no-44198

CRIStin
1105602

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  • Institutt for informatikk [3608]
  • CRIStin høstingsarkiv [15978]
Original version
Proceedings of The 13th International Conference on Parsing Technologies IWPT-2013. 2013, 63-72
Abstract
We compare three different approaches to parsing into syntactic, bi-lexical dependencies for English: a ‘direct’ data-driven dependency parser, a statistical phrase structure parser, and a hybrid, ‘deep’ grammar-driven parser. The analyses from the latter two are post-converted to bilexical dependencies. Through this ‘reduction’ of all three approaches to syntactic dependency parsers, we determine empirically what performance can be obtained for a common set of dependency types for English, across a broad variety of domains. In doing so, we observe what trade-offs apply along three dimensions, accuracy, efficiency, and resilience to domain variation. Our results suggest that the hand-built grammar in one of our parsers helps in both accuracy and cross-domain performance.

Proceedings of The 13th International Conference on Parsing Technologies IWPT-2013.
 
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