Proposition Bank I
|Item Name:||Proposition Bank I|
|Author(s):||Martha Palmer, Paul Kingsbury, Olga Babko-Malaya, Scott Cotton, Benjamin Snyder|
|LDC Catalog No.:||LDC2004T14|
|Release Date:||September 1, 2004|
|Project(s):||TIDES, GALE, ACE|
|Application(s):||machine translation, information extraction, question-answering|
LDC User Agreement for Non-Members
|Online Documentation:||LDC2004T14 Documents|
|Licensing Instructions:||Subscription & Standard Members, and Non-Members|
|Citation:||Palmer, Martha, et al. Proposition Bank I LDC2004T14. Web Download. Philadelphia: Linguistic Data Consortium, 2004.|
Proposition Bank I was produced by Linguistic Data Consortium (LDC) catalog number LDC2004T14 and ISBN 1-58563-304-6.
This is a semantic annotation of the Wall Street Journal section of Treebank-2. More specifically, each verb occurring in the Treebank has been treated as a semantic predicate and the surrounding text has been annotated for arguments and adjuncts of the predicate. The verbs have also been tagged with coarse grained senses and with inflectional information. This work was done in the Computer and Information Sciences Department at the University of Pennsylvania.
All data is the result of double blind, adjudicated annotation.
There are two basic components to Propbank:
- The Verb Lexicon. A frames file, consisting of one or more frame sets, has been created for each verb occuring in the Treebank. These files serve as a reference for the annotators and for users of the data. 3,324 such files have been created, totalling about 5.5 MB of uncompressed data.
- The Annotation. There are approximately 113,000 annotated verb tokens. These verb tokens include all those occurring in over one million words of the Wall Street Journal section of the Penn Treebank, excluding 'be' and auxiliary uses of 'do' and 'have.' There are annotations for over 3,200 unique verbs. These annotations are stored in a single file in standoff format, totalling ~9.6 MB of uncompressed data.
Please check the Propbank homepage for updates, tools, annotation guidelines, and published papers.
This work was funded by DoD Grant MDA904-00C-2136, NSF grant IIS-9800658, and the Institute for Research in Cognitive Science at the University of Pennsylvania NSF-STC grant SBR-89-20230.