====== Resources ======

Use this page to list additional Resources that may be helpful to your students.

  * [[http://www.cse.yorku.ca|Department of CSE Home Page]]
  *   [[https://w2prod.sis.yorku.ca/Apps/WebObjects/cdm.woa/wa/curexam|York Exam Schedule]]

  * {{:2.pdf|information retrieval & vector spaces 1}}
  * {{:ieee-sw-rank.pdf|information retrieval & vector spaces 2}}
  * {{:nlp09.pdf|information retrieval & vector spaces 3}}
  * {{:p613-salton.pdf|information retrieval & vector spaces 4}}
  * {{:ir4up.pdf|information retrieval & vector spaces 5}}
  * {{:polettini_information_retrieval.pdf|information retrieval & vector spaces 6}}

  * {{:chap16.pdf|text classification 1}}
  * {{:nlp10.pdf|text classification 2}}
  * {{:joachims_98a.pdf|text classification 3}}
  * {{: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}}
  * {{:13.pdf|parser evaluation 2}}
  * {{:0712.3705.pdf|parser evaluation 3}}
  * {{:lre98.pdf|parser evaluation 4}}
  * {{:p60-simov-ranlp03.pdf|parser evaluation 5}}
  * {{:pe08rimell_constructing.pdf|parser evaluation 6}}
  * {{:pe08rimell_constructing.pdf|parser evaluation 7}}
  * {{:syntax.pdf|parser evaluation 8}}

  * {{: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}}

  * {{:10_1_.1.1.73.5412.pdf|fully independent modeling 1}}
  * {{:10_1_.1.1.112.8246.pdf|fully independent modeling 2}}
  * {{:1302.4381v3.pdf|fully independent modeling 3}}
  * {{:nlp14.pdf|fully independent modeling 4}}
  * {{:nlp15.pdf|fully independent modeling 5}}
  * {{:tebaldi07ptrsa.pdf|fully independent modeling 6}}

  * {{: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}}