81 search results - page 2 / 17 » Decision Tree Parsing using a Hidden Derivation Model |
COLING
2000
13 years 6 months ago
2000
Common wisdom has it that tile bias of stochastic grammars in favor of shorter deriwttions of a sentence is hamfful and should be redressed. We show that the common wisdom is wron...
ACL
1993
13 years 6 months ago
1993
We describe a generative probabilistic model of natural language, which we call HBG, that takes advantage of detailed linguistic information to resolve ambiguity. HBG incorporates...
ACL
2011
12 years 8 months ago
2011
We propose a generative model based on Temporal Restricted Boltzmann Machines for transition based dependency parsing. The parse tree is built incrementally using a shiftreduce pa...
COLING
2008
13 years 6 months ago
2008
This paper describes an incremental approach to parsing transcribed spontaneous speech containing disfluencies with a Hierarchical Hidden Markov Model (HHMM). This model makes use...
JMLR
2006
13 years 4 months ago
2006
This paper proposes a general probabilistic framework for shape-based modeling and classification of waveform data. A segmental hidden Markov model (HMM) is used to characterize w...