Joint distribution
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Publications (38)

1A New Approach to Word Sense Disambiguation1994  Rebecca Bruce,Janyce Wiebeaccording to a schema that provides a description of the joint distribution of the values of sense tags and contextual features...

2Inducing Synchronous Grammars with Slice Sampling2010  Phil Blunsom,Trevor Cohnuse of the fact that if we can draw samples from a joint distribution, then we can trivially obtain samples from the marginal...

3FineGrained Hidden Markov Modeling for BroadcastNews Story Segmentationresulting in a joint distribution, p(fv,s), over the entire space of (Feature,State) values. From this joint distribution, the necessary...

4Adaptive Language Modeling Using The Maximum Entropy Principlebigram has been used for this event. Assume we have a joint distribution p(h, w) of the history of K words and the next word...

5Virtual Evidence for Training Speech Recognizers Using Partially Labeled Data2007  Amarnag Subramanya,Jeffrey Bilmes4.1). 3 Softsupervised Learning With VE Given a joint distribution over n variables p(x1, . . . , xn), “evidence” simply...

6Semantic Extraction with WideCoverage Lexical Resources2003  Behrang Mohit,Srini NarayananWith this model, we are able to estimate the overall joint distribution for each FrameNet frame, given the lexical items in...

7Improved Extraction Assessment through Better Language Models2010  Arun Ahuja,Doug Downeysome number k of previous hidden states. Formally, the joint distribution of a word sequence w given a corresponding state sequence...

8An MDLbased approach to extracting subword units for graphemetophoneme conversion2010  Sravana Reddy,John Goldsmithexample of a jointsequence ngram model, which uses a joint distribution pr(G,P) of graphemes and phonemes (‘graphones’), c...

9Inducing a Multilingual Dictionary from a Parallel Multitext in Related Languages2005  Dmitriy Genzelto create a multilingual dictionary by learning the joint distribution P (x1 . . . xn)xi∈Li which is simply the expected frequency...

10An Iterative Reinforcement Approach for FineGrained Opinion Mining2009  Weifu Du,Songbo Tanbetween them measures the relative entropy between their joint distribution p(x, y) and the product of respective marginal dis...