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Hits 1 – 20 of 138
1
Parsing entire discourses as very long strings: Capturing topic continuity in grounded language learning
Minh-thang Luong
;
Michael C. Frank
;
Mark Johnson
In: http://langcog.stanford.edu/papers/LFJ-TACL2013.pdf (2014)
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2
Comparison of Fixed and Variable Pitch Actuators for Agile Quadrotors
Cutler, Mark Johnson
;
Ure, Nazim Kemal
;
Michini, Bernard J.
...
In: MIT web domain (2011)
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3
Learning words and their meanings from unsegmented child-directed speech
Bevan K. Jones
;
Mark Johnson
;
Michael C. Frank
In: http://langcog.stanford.edu/papers/JJF-naacl2010.pdf (2010)
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4
Learning words and their meanings from unsegmented child-directed speech
Bevan K. Jones
;
Mark Johnson
;
Michael C. Frank
In: http://www.aclweb.org/anthology-new/N/N10/N10-1074.pdf (2010)
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5
Unsupervised phonemic chinese word segmentation using adaptor grammars
Mark Johnson
;
Katherine Demuth
In: http://aclweb.org/anthology/C/C10/C10-1060.pdf (2010)
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6
Covariance in unsupervised learning of probabilistic grammars
Shay B. Cohen
;
Noah A. Smith
;
Alex Clark
...
In: http://www.cs.cmu.edu/%7Escohen/jmlr10pgcovariance.pdf (2010)
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7
Learning words and their meanings from unsegmented child-directed speech
Bevan K Jones
;
Mark Johnson
;
Michael C Frank
In: http://www.socsci.uci.edu/%7Elpearl/colareadinggroup/readings/JonesJohnsonFrank2010_WordsMeaningsUnsegSpeech.pdf (2010)
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8
Improving unsupervised dependency parsing with richer contexts and smoothing
William P. Headden Iii
;
Mark Johnson
;
David Mcclosky
In: http://cs.brown.edu/~dmcc/papers/headdenw-naacl-2009.pdf (2009)
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9
Learning Underlying forms with MaxEnt
Sarah Eisenstat
;
Advisor Mark Johnson
In: http://cs.brown.edu/research/pubs/theses/masters/2009/eisenstat.pdf (2009)
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10
A Bayesian Framework for Word Segmentation: Exploring the Effects of Context
Sharon Goldwater
;
Thomas L. Griffiths
;
Mark Johnson
In: http://www.cog.brown.edu/~mj/papers/GoldwaterGriffithsJohnson09WordSegmentation.pdf (2009)
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11
A bayesian framework for word segmentation: Exploring the effects of context
Sharon Goldwater
;
Thomas L. Griffiths
;
Mark Johnson
In: http://homepages.inf.ed.ac.uk/sgwater/papers/cognition-hdp.pdf (2009)
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12
Improving nonparameteric Bayesian inference: Experiments on unsupervised word segmentation with adaptor grammars
Mark Johnson
In: http://homepages.inf.ed.ac.uk/sgwater/papers/naacl09_johnson.pdf (2009)
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13
Bayesian inference for PCFGs via Markov chain Monte Carlo
Mark Johnson
;
Thomas L. Griffiths
In: http://acl.ldc.upenn.edu/N/N07/N07-1018.pdf (2007)
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14
Bayesian inference for PCFGs via Markov chain Monte Carlo
Mark Johnson
;
Thomas L. Griffiths
In: http://www.stanford.edu/~sgwater/papers/naacl07-mcmc-pcfg.pdf (2007)
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15
Date Date Date Date
Dmitriy Genzel
;
Mark Johnson Reader
;
Tom Dean Reader
...
In: http://www.cs.brown.edu/research/pubs/theses/phd/2006/genzel.pdf (2006)
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16
Learning Phrasal Categories
William P. Headden, III
;
Eugene Charniak
;
Mark Johnson
In: http://www.cs.brown.edu/research/pubs/pdfs/2006/Headden-2006-LPC.pdf (2006)
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17
Recognizing disfluencies in conversational speech
Matthew Lease
;
Student Member
;
Mark Johnson
...
In: http://www.cs.brown.edu/research/pubs/pdfs/2006/Lease-2006-RDC.pdf (2006)
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18
Reranking and self-training for parser adaptation
David Mcclosky
;
Eugene Charniak
;
Mark Johnson
In: http://cs.brown.edu/~dmcc/papers/dmcc-acl-2006.ps (2006)
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19
Reranking and self-training for parser adaptation
David Mcclosky
;
Eugene Charniak
;
Mark Johnson
In: http://cs.brown.edu/~dmcc/papers/dmcc-acl-2006.pdf (2006)
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20
Effective Use of Prosody in . . .
Jeremy G. Kahn
;
Matthew Lease
;
Eugene Charniak
...
In: http://www.cs.brown.edu/research/pubs/pdfs/2005/Kahn-2005-EUP.pdf (2005)
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