Paper: Combining Unsupervised And Supervised Methods For PP Attachment Disambiguation

ACL ID C02-1004
Title Combining Unsupervised And Supervised Methods For PP Attachment Disambiguation
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2002
Authors
  • Martin Volk (University of Zurich, Zurich Switzerland)

Statistical methods for PP attachment fall into two classes according to the training material used: first, unsupervised methods trained on raw text corpora and second, supervised meth- ods trained on manually disambiguated exam- ples. Usually supervised methods win over un- supervised methods with regard to attachment accuracy. But what if only small sets of manu- ally disambiguated material are available?