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resources [2014/02/03 21:03] – nickresources [2014/02/22 19:26] (current) – nick
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   * {{:nlp09.pdf|information retrieval & vector spaces 3}}   * {{:nlp09.pdf|information retrieval & vector spaces 3}}
   * {{:p613-salton.pdf|information retrieval & vector spaces 4}}   * {{:p613-salton.pdf|information retrieval & vector spaces 4}}
-  * {{:polettini_information_retrieval.pdf|information retrieval & vector spaces 5}}+  * {{:ir4up.pdf|information retrieval & vector spaces 5}} 
 +  * {{:polettini_information_retrieval.pdf|information retrieval & vector spaces 6}}
  
   * {{:chap16.pdf|text classification 1}}   * {{:chap16.pdf|text classification 1}}
Line 17: Line 18:
   * {{:text_classification.pdf|text classification 4}}   * {{:text_classification.pdf|text classification 4}}
   * {{:mlas06_cohen_tc.pdf|text classification 5}}   * {{:mlas06_cohen_tc.pdf|text classification 5}}
 +  * {{:10_1_.1.1.4.4417.pdf|text classification 6}}
  
   * {{:10e-eval-2x3.pdf|parser evaluation 1}}   * {{:10e-eval-2x3.pdf|parser evaluation 1}}
-  * {{|parser evaluation 2}} +  * {{:13.pdf|parser evaluation 2}} 
-  * {{|parser evaluation 3}} +  * {{:0712.3705.pdf|parser evaluation 3}} 
-  * {{|parser evaluation 4}} +  * {{:lre98.pdf|parser evaluation 4}} 
-  * {{|parser evaluation 5}} +  * {{:p60-simov-ranlp03.pdf|parser evaluation 5}} 
-  * {{|parser evaluation 6}} +  * {{:pe08rimell_constructing.pdf|parser evaluation 6}} 
-  * {{|parser evaluation 7}} +  * {{:pe08rimell_constructing.pdf|parser evaluation 7}} 
-  * {{|parser evaluation 8}}+  * {{:syntax.pdf|parser evaluation 8}}
  
-  * {{:chap16.pdf|probabilistic modeling 1}}+  * {{:08eval.pdf|probabilistic modeling 1}} 
 +  * {{:11prob.pdf|probabilistic modeling 2}} 
 +  * {{:ecir2008tutorialhiemstra-new.pdf|probabilistic modeling 3}} 
 +  * {{:fuhr_92.pdf|probabilistic modeling 4}} 
 +  * {{:lecture11-probir.pdf|probabilistic modeling 5}} 
 +  * {{:lecture20.pdf|probabilistic modeling 6}} 
 +  * {{:nlp12.pdf|probabilistic modeling 7}} 
 +  * {{:nlp13.pdf|probabilistic modeling 8}} 
 +  * {{:ir-probablistic-strategy.pdf|probabilistic modeling 9}}
  
-  * {{:chap16.pdf|fully independent modeling 1}} +  * {{:10_1_.1.1.73.5412.pdf|fully independent modeling 1}} 
- +  * {{:10_1_.1.1.112.8246.pdf|fully independent modeling 2}} 
-  * {{:chap16.pdf|applications of n-gram modeling 1}} +  * {{:1302.4381v3.pdf|fully independent modeling 3}} 
- +  * {{:nlp14.pdf|fully independent modeling 4}} 
-  * {{:chap16.pdf|hidden markov model 1}} +  * {{:nlp15.pdf|fully independent modeling 5}} 
- +  * {{:tebaldi07ptrsa.pdf|fully independent modeling 6}}
-  * {{:chap16.pdf|Bayesian networks 1}} +
- +
-  * {{:chap16.pdf|probabilistic parsing 1}}+
  
 +  * {{:10_1_.1.1.87.754.pdf|applications of n-gram modeling 1}}
 +  * {{:01342667.pdf|applications of n-gram modeling 2}}
 +  * {{:aaac.pdf|applications of n-gram modeling 3}}
 +  * {{:d07-1045.pdf|applications of n-gram modeling 4}}
 +  * {{:daltrec05spam.pdf|applications of n-gram modeling 5}}
 +  * {{:fulltext.pdf|applications of n-gram modeling 6}}
 +  * {{:henke-ch6.ppt|applications of n-gram modeling 7}}
 +  * {{:ijcai09-252.pdf|applications of n-gram modeling 8}}
 +  * {{:j92-4003.pdf|applications of n-gram modeling 9}}
 +  * {{:lecture4n-grams.ppt|applications of n-gram modeling 10}}
 +  * {{:n03-1020.pdf|applications of n-gram modeling 11}}
 +  * {{:nlp16.pdf|applications of n-gram modeling 12}}
 +  * {{:pacling05a.pdf|applications of n-gram modeling 13}}
  
 +  * {{:hmm_tutorial.pdf|tutorial on hidden markov model}}
 +  * {{:hmm14.pdf|hidden markov models - andrew moore's slides}}
 +  * {{{:nlp17.pdf|lecture 17 - hidden markov model}}
 +  * {{:c96-2141.pdf|hidden markov model based word alignment}}
 +  * {{:jiang_dt_survey.pdf|Discriminative training of HMMs for speech recognition: A survey}}
 +  * {{:jiang_tr11.pdf|Maximum Mutual Information Estimation of HMMs in Speech Recognition}}
 +  * {{:speech_rec.pdf|Speech Recognition using HMMs}}
 +  * {{:psr_0708_chapter12.pdf|hidden markov models in speech recognition}}
 +  * {{:speech_recog_using_hmms_2005.pdf|speech recognition}}
  
 +  * {{:bayesinf05.pdf|Bayesian networks - andrew moore's slides}}
 +  * {{:bayesnet09.pdf|more Bayesian networks - andrew moore's slides}}
 +  * {{:bayesstruct05.pdf|yet more Bayesian networks - andrew moore's slides}}
 +  * {{:bn.pdf|Bayesian networks}}
 +  * {{:gaussbc12.pdf|and yet more Bayesian networks - andrew moore's slides}}
 +  * {{:naive02.pdf|Naive Bayesian networks}}
 +  * {{:nlp18.pdf|Bayesian belief networks}}
 +  * {{:prob18.pdf|Probabilistic and Bayesian networks}}
 +  * {{:shortbayes03.pdf|Executive summary - Bayesian networks}}
  
 +  * {{:1104.pdf|probabilistic parsing}}
 +  * {{:c00-1017.pdf|Probabilistic Parsing and Psychological Plausibility}}
 +  * {{:doplecture.pdf|probabilistic parsing - ESSLLI}}
 +  * {{:iicall06.pdf|Detecting grammatical errors using probabilistic parsing}}
 +  * {{:lex-parser.pdf|fast exact inference - probabilistic parsing}}
 +  * {{:nlp21.pdf|probabilistic parsing nlp 21}}
 +  * {{:nlp22.pdf|probabilistic parsing nlp 22}}
 +  * {{:p04-1069.pdf|Probabilistic Parsing Strategies}}
 +  * {{:probabilistic_parsers_on_the_web.doc|probabilistic parsers on the web}}
 +  * {{:unlexicalized-parsing.pdf|Accurate Unlexicalized Parsing}}
resources.1391461395.txt.gz · Last modified: by nick