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Institute for Natural Language Processing

PAC
 
  PAC is a predicate-argument clustering software which is trained on tuples such as

2abandonSUBJ:NPcompanyproject
1abstainSUBJlegislator
1accedeSUBJ:P:NPgovernmenttopact

and induces a statistical soft clustering of these (and other) tuples. The statistical PAC model is described in the following paper:

Sabine Schulte im Walde, Christian Hying, Christian Scheible, and Helmut Schmid:
Combining EM Training and the MDL Principle for an Automatic Verb Classification Incorporating Selectional Preferences,
ACL-HLT 2008, Columbus, Ohio. (pdf)

The source code of PAC can be downloaded here as a gzip-compressed tar file. It is freely available for education, research and other non-commercial purposes.


Please send comments, suggestions and bug reports to me (Helmut Schmid) at the address FirstName.LastName@ims.uni-stuttgart.de.