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--- resources [2014/02/03 21:03] – nick
+++ resources [2014/02/22 19:26] (current) – nick
@@ Line 10: / Line 10: @@
   * {{:nlp09.pdf|information retrieval & vector spaces 3}}
   * {{: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}}
@@ Line 17: / Line 18: @@
   * {{:text_classification.pdf|text classification 4}}
   * {{:mlas06_cohen_tc.pdf|text classification 5}}
+  * {{:10_1_.1.1.4.4417.pdf|text classification 6}}
   * {{: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}}