Shallow parsing

Known as: Chunking, Text chunker 
Shallow parsing (also chunking, "light parsing") is an analysis of a sentence which first identifies constituent parts of sentences (nouns, verbs… (More)
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Topic mentions per year

Topic mentions per year

1982-2018
05010019822018

Papers overview

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2010
2010
There is significant evidence in the literature that integrating knowledge about multiword expressions can improve shallow… (More)
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2009
2009
Most existing systems for Chinese Semantic Role Labeling (SRL) make use of full syntactic parses. In this paper, we evaluate SRL… (More)
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Highly Cited
2003
Highly Cited
2003
Conditional random fields for sequence labeling offer advantages over both generative models like HMMs and classifiers applied at… (More)
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2003
2003
To produce fast, reasonably intelligible and easily corrected translations between related languages, it suffices to use a… (More)
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Highly Cited
2002
Highly Cited
2002
We present a unified technique to solve different shallow parsing tasks as a tagging problem using a Hidden Markov Model-based… (More)
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Highly Cited
2002
Highly Cited
2002
Robustness is a key issue for natural language processing in general and parsing in particular, and many approaches have been… (More)
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2001
2001
Significant amount of work has been devoted recently to develop learning techniques that can be used to generate partial (shallow… (More)
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2000
2000
Treating shallow parsing as part-of-speech tagging yields results comparable with other, more elaborate approaches. Using the… (More)
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Highly Cited
1999
Highly Cited
1999
We present memory-based learning approaches to shallow parsing and apply these to five tasks: base noun phrase identification… (More)
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Highly Cited
1999
Highly Cited
1999
A SNoW based learning approach to shallow parsing tasks is presented and studied experimentally. The approach learns to identify… (More)
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