Difference between revisions of "PropBank"

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The PropBank [[Category::Dataset|dataset]] (or, Proposition Bank) is annotated with Semantic Role Label.  
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The PropBank [[Category::Dataset|dataset]] (or, Proposition Bank) [http://verbs.colorado.edu/~mpalmer/projects/ace.html] is annotated with Semantic Role Label.  
  
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The dataset is available here [http://framenet.icsi.berkeley.edu/index.php?option=com_content&task=view&id=18998&Itemid=121] by request.  
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The dataset is available via Language Data Consortium (LDC) [http://www.ldc.upenn.edu/].
  
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Sentences of the FrameNet come from the British National Corpus, which provides the largest corpus of English with a balanced mixture of text genres. The corpus are annotated with automatically generated part-of-speech tags for each word, but it does not have full syntactic parses.
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Semantic role label of the PropBank is predicate-argument relation. Each sentence in the text of the original Penn Treebank is annotated with a set of semantic roles defined for each verb. For example,
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Frameset '''accept.01''' "take willingly"<br>
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Arg0: Acceptor<br>
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Arg1: Thing accepted<br>
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Arg2: Accepted-from<br>
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Arg3: Attribute<br>
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Ex: [<sub>Arg0</sub> He][<sub>ArgM-MOD</sub> would][<sub>ArgM-NEG</sub> n't] ''accept'' [<sub>Arg1</sub> anything of value][<sub>Arg2</sub> from those he was writing about]. (wsj_0186)
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Hand-checked syntactic parse trees are available since annotation was performed on the Penn Treebank corpus.
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The FrameNet roles are defined based on each semantic frame. A frame is a representation of situations regarding various participants, props, and other conceptual roles. For example, the frame ''CONVERSATION'' has related verbs like ''argue'', ''banter'', ''debate'', ''converse'', and ''gossip'', and the roles defined in this frame are ''PROTAGONISTS'', ''MEDIUM'', and ''TOPIC''.
 
  
 
{{#ask: [[UsesDataset::PropBank]]
 
{{#ask: [[UsesDataset::PropBank]]

Latest revision as of 22:29, 30 November 2010

The PropBank dataset (or, Proposition Bank) [1] is annotated with Semantic Role Label.

The dataset is available via Language Data Consortium (LDC) [2].

Semantic role label of the PropBank is predicate-argument relation. Each sentence in the text of the original Penn Treebank is annotated with a set of semantic roles defined for each verb. For example,


Frameset accept.01 "take willingly"
Arg0: Acceptor
Arg1: Thing accepted
Arg2: Accepted-from
Arg3: Attribute
Ex: [Arg0 He][ArgM-MOD would][ArgM-NEG n't] accept [Arg1 anything of value][Arg2 from those he was writing about]. (wsj_0186)


Hand-checked syntactic parse trees are available since annotation was performed on the Penn Treebank corpus.



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