Stochastic grammar

Known as: SNLP, Statistical Natural Language Processing, Statistical grammar 
A stochastic grammar (statistical grammar) is a grammar framework with a probabilistic notion of grammaticality: * Stochastic context-free grammar… (More)
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Papers overview

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2018
2018
We present a human-centric method to sample and synthesize 3D room layouts and 2D images thereof, to obtain large-scale 2D/3D… (More)
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Highly Cited
2011
Highly Cited
2011
We study the problem of automatically learning event AND-OR grammar from videos of a certain environment, e.g. an office where… (More)
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2005
2005
An increasing number of structural homology search tools, mostly based on profile stochastic context-free grammars (SCFGs) have… (More)
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Highly Cited
2003
Highly Cited
2003
Video-based recognition and prediction of a temporally extended activity can benefit from a detailed description of high-level… (More)
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Highly Cited
2001
Highly Cited
2001
We presentconditional random fields, a framework for building probabilistic models to segment and label sequence data… (More)
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Highly Cited
2000
Highly Cited
2000
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is… (More)
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Highly Cited
1996
Highly Cited
1996
One way to represent a machine learning algorithm's bias over the hypothesis and instance space is as a pair of probability… (More)
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1995
1995
Starting with a statistical domain model in the form of a stochastic grammar, one can derive neural network architectures with… (More)
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Highly Cited
1993
Highly Cited
1993
In Data Oriented Parsing (DOP), an annotated corpus is used as a stochastic grammar. An input string is parsed by combining… (More)
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1992
1992
A grammar network that resembles the RTN, but takes the topology of Markov Model is introduced. This new grammar model captures… (More)
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