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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… 
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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… 
Highly Cited
2008
Highly Cited
2008
This paper presents our contribution in the closed track of the 2008 CoNLL Shared Task (Surdeanu et al., 2008). To tackle the… 
Highly Cited
2007
Highly Cited
2007
Shallow semantic parsing, the automatic identification and labeling of sentential constituents, has recently received much… 
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… 
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… 
Highly Cited
2006
Highly Cited
2006
In recent years tree kernels have been proposed for the automatic learning of natural language applications. Unfortunately, they… 
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… 
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… 
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… 
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…