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» Authorship Attribution Using Probabilistic Context-Free Gram...
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ICML
2005
IEEE
14 years 5 months ago
Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields
We present a directed Markov random field (MRF) model that combines n-gram models, probabilistic context free grammars (PCFGs) and probabilistic latent semantic analysis (PLSA) fo...
Shaojun Wang, Shaomin Wang, Russell Greiner, Dale ...
NAACL
2010
13 years 2 months ago
Appropriately Handled Prosodic Breaks Help PCFG Parsing
This paper investigates using prosodic information in the form of ToBI break indexes for parsing spontaneous speech. We revisit two previously studied approaches, one that hurt pa...
Zhongqiang Huang, Mary P. Harper
TSD
2007
Springer
13 years 11 months ago
Accurate Unlexicalized Parsing for Modern Hebrew
Many state-of-the-art statistical parsers for English can be viewed as Probabilistic Context-Free Grammars (PCFGs) acquired from treebanks consisting of phrase-structure trees enri...
Reut Tsarfaty, Khalil Sima'an