PropBank

A PropBank is a Annotated Text Corpus that contains annotations of semantic propositions and predicate-argument relations.

• AKA: Proposition Bank.
• Context:
  • It was first developed by Palmer et al. (2005).
• Example(s):
  • He wouldn't accept anything of value from those he was writing about.

    PropBank: [A0 He] [AM-MOD would] [AM-NEG n't] [V accept] [A1 anything of value] from [A2 those he was writing about] , where the roles (Rolesets) for the Predicate accept are defined in a PropBank Frame Scheme as: V-verb, A0:acceptor, A1:thing accepted, A2:accepted-from, A3:attribute, AM-MOD:modal, and AM-NEG:negation.

  • …
• Counter-Example(s):
  • FrameNet,
  • TreeBank.
• See: Semantic Role Labelling Task, Text Corpus, Annotation Task, Common Noun, Natural Language Processing, PropBank Frame Scheme, Semantic Role Labeling Task.

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References

2019a

• (Wikipedia, 2019) ⇒ https://en.wikipedia.org/wiki/PropBank Retrieved:2019-6-27.
  • PropBank is a corpus that is annotated with verbal propositions and their arguments—a "proposition bank". Although "PropBank" refers to a specific corpus produced by Martha Palmer et al. (Palmer et al., 2005) the term propbank is also coming to be used as a common noun referring to any corpus that has been annotated with propositions and their arguments.

    The PropBank project has played a role in recent research in natural language processing, and has been used in semantic role labelling.

2019b

• (Palmer, 2019) ⇒ Martha Palmer (2019) https://verbs.colorado.edu/~mpalmer/projects/ace.html Retrieved:2019-6-27.
  • QUOTE: The original PropBank project, funded by ACE, created a corpus of text annotated with information about basic semantic propositions. Predicate-argument relations were added to the syntactic trees of the Penn Treebank. This resource is now available via LDC.

2019c

• (NLTK, 2019) ⇒ http://www.nltk.org/howto/propbank.html Retrieved:2019-6-27.
  • QUOTE: The PropBank Corpus provides predicate-argument annotation for the entire Penn Treebank. Each verb in the treebank is annotated by a single instance in PropBank, containing information about the location of the verb, and the location and identity of its arguments:

>>> from nltk.corpus import propbank
>>> pb_instances = propbank.instances()
>>> print(pb_instances) # doctest: +NORMALIZE_WHITESPACE
[<PropbankInstance: wsj_0001.mrg, sent 0, word 8>,
 <PropbankInstance: wsj_0001.mrg, sent 1, word 10>, ...]

Each propbank instance defines the following member variables:

• Location information: fileid, sentnum, wordnum
• Annotator information: tagger
• Inflection information: inflection
• Roleset identifier: roleset
• Verb (aka predicate) location: predicate
• Argument locations and types: arguments

2005

• (Palmer et al., 2005) ⇒ Martha Palmer, Daniel Gildea, and Paul Kingsbury. (2005). “The Proposition Bank: A Corpus Annotated with Semantic Roles.” In: Computational Linguistics Journal, 31(1).
  • QUOTE: The Proposition Bank project takes a practical approach to semantic representation, adding a layer of predicate-argument information, or semantic role labels, to the syntactic structures of the Penn Treebank.

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