Parsing

Known as: List of parser development software, Parsable, Parseable 
Parsing or syntactic analysis is the process of analysing a string of symbols, either in natural language or in computer languages, conforming to the… (More)
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Topic mentions per year

Topic mentions per year

1939-2018
01000200019392017

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2013
Highly Cited
2013
Natural language parsing has typically been done with small sets of discrete categories such as NP and VP, but this… (More)
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Highly Cited
2011
Highly Cited
2011
Recursive structure is commonly found in the inputs of different modalities such as natural scene images or natural language… (More)
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Highly Cited
2007
Highly Cited
2007
We present several improvements to unlexicalized parsing with hierarchically state-split PCFGs. First, we present a novel coarse… (More)
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Highly Cited
2006
Highly Cited
2006
This paper describes a system for extracting typed dependency parses of English sentences from phrase structure parses. In order… (More)
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Highly Cited
2003
Highly Cited
2003
We demonstrate that an unlexicalized PCFG can parse much more accurately than previously shown, by making use of simple… (More)
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Highly Cited
2003
Highly Cited
2003
HEAD DRIVEN STATISTICAL MODELS FOR NATURAL LANGUAGE PARSING Michael Collins Supervisor Professor Mitch Marcus Statistical models… (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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Highly Cited
2000
Highly Cited
2000
ÐThis paper describes a probabilistic syntactic approach to the detection and recognition of temporally extended activities and… (More)
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Highly Cited
1997
Highly Cited
1997
In this paper we first propose a new statistical parsing model, which is a generative model of lexicalised context-free grammar… (More)
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Highly Cited
1989
Highly Cited
1989
These chunks correspond in some way to prosodic patterns. It appears, for instance, that the strongest stresses in the sentence… (More)
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