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PropBank

PropBank is a corpus that is annotated with verbal propositions and their arguments—a "proposition bank". Although "PropBank" refers to a specific… Expand
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Papers overview

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Highly Cited
2008
Highly Cited
2008
We present a PropBank semantic role labeling system for English that is integrated with a dependency parser. To tackle the… Expand
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Highly Cited
2007
Highly Cited
2007
Shallow semantic parsing, the automatic identification and labeling of sentential constituents, has recently received much… Expand
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Highly Cited
2007
Highly Cited
2007
This paper describes our experience in preparing the data and evaluating the results for three subtasks of SemEval-2007 Task-17… Expand
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Highly Cited
2006
Highly Cited
2006
In this paper, we provide a study on the use of tree kernels to encode syntactic parsing information in natural language learning… Expand
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Highly Cited
2006
Highly Cited
2006
In recent years tree kernels have been proposed for the automatic learning of natural language applications. Unfortunately, they… Expand
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Highly Cited
2004
Highly Cited
2004
We present a system for the semantic role labeling task. The system combines a machine learning technique with an inference… Expand
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Highly Cited
2004
Highly Cited
2004
In this paper, we propose a machine learning algorithm for shallow semantic parsing, extending the work of Gildea and Jurafsky… Expand
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Highly Cited
2004
Highly Cited
2004
In this paper, a novel semantic role labeler based on dependency trees is developed. This is accomplished by formulating the… Expand
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Highly Cited
2004
Highly Cited
2004
Abstract : This paper reports some experiments that Compare the accuracy and performance of two stochastic parsing systems. The… Expand
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Highly Cited
2002
Highly Cited
2002
This paper describes our approach to the development of a Proposition Bank, which involves the addition of semantic information… Expand
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