The Proposition Bank: An Annotated Corpus of Semantic Roles

The Proposition Bank: An Annotated Corpus of Semantic Roles (2005)

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by Martha Palmer , Paul Kingsbury , Daniel Gildea

Venue:	Computational Linguistics
Citations:	536 - 21 self

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@ARTICLE{Palmer05theproposition,
    author = {Martha Palmer and Paul Kingsbury and Daniel Gildea},
    title = {The Proposition Bank: An Annotated Corpus of Semantic Roles},
    journal = {Computational Linguistics},
    year = {2005},
    volume = {31}
}

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Abstract

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. The resulting resource can be thought of as shallow, in that it does not represent coreference, quantification, and many other higher-order phenomena, but also broad, in that it covers every instance of every verb in the corpus and allows representative statistics to be calculated. We discuss the criteria used to define the sets of semantic roles used in the annotation process and to analyze the frequency of syntactic/semantic alternations in the corpus. We describe an automatic system for semantic role tagging trained on the corpus and discuss the effect on its performance of various types of information, including a comparison of full syntactic parsing with a flat representation and the contribution of the empty ‘‘trace’ ’ categories of the treebank.

Keyphrases

semantic role annotated corpus proposition bank full syntactic parsing empty trace category annotation process representative statistic many higher-order phenomenon proposition bank project automatic system practical approach predicate-argument information penn treebank syntactic semantic alternation various type flat representation semantic representation semantic role label syntactic structure