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 |
ISBN: | 1-58563-304-6 |
ISLRN: | 874-058-423-080-1 |
DOI: | https://doi.org/10.35111/9r29-gt54 |
Release Date: | September 01, 2004 |
Member Year(s): | 2004 |
DCMI Type(s): | Text |
Data Source(s): | newswire |
Project(s): | ACE, GALE, TIDES |
Application(s): | information extraction, machine translation, question-answering |
Language(s): | English |
Language ID(s): | eng |
License(s): |
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. |
Related Works: | View |
Introduction
Proposition Bank I was developed at the University of Pennsylvania's Computer and Information Sciences Department and contains semantic annotation of verbs from over one million words of English newswire text. The data was taken from the Wall Street Journal section of Treebank-2 (LDC95T7).
More specifically, each verb occurring in the Treebank was treated as a semantic predicate and the surrounding text was annotated for arguments and adjuncts of the predicate. The verbs were also tagged with coarse grained senses and with inflectional information.
All data was subject to double blind, adjudicated annotation.
Data
There are two basic components to Propbank:
- The Verb Lexicon. A frames file in XML format, 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. 3,323 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.
Samples
Updates
Please check the Propbank homepage for updates, tools, annotation guidelines, and published papers.
Sponsorship
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.