CSE6390

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Class Presentation notes information:

  * notes on in-class presentation
       * {{:presentation.pdf|in-class presentation}}

  * information retrieval & vector space model
       * {{:03vectorspaceimplementation-6per.pdf|retrieval strategies - vector space model}}
       * {{:07models-vsm.pdf|IR models - vector space model}}
       * {{:e09-3009.pdf|generalized vector space model}}
       * {{:ieee-sw-rank.pdf|document ranking and the vector space model}}
       * {{:ir4up.pdf|IR models - vector space model2}}
       * {{:nlp09.pdf|NLP - vector space model}}
       * {{:p613-salton.pdf|vector space model for automatic indexing}}
       * {{:polettini_information_retrieval.pdf|term weighting problem}}
       * {{:p613-salton.pdf|vector space model for automatic indexing}}
       * {{:2.pdf|introduction to the vector space mode}}
       * {{:vector_space_model.pdf|vector space model from wikipedia}}

  * text classification
       * {{:10_1_.1.1.4.4417.pdf|text classification from labelled & unlabelled documents}}
       * {{:chap16.pdf|chapter 16 from Manning's book}}
       * {{:ig-mercer-kernel-performance-2006.pdf|evaluating kernel performance in multiCategory hypertext classification}}
       * {{:joachims_98a.pdf|Text Categorization with Support VectorMachines}}
       * {{:lodhi02a.pdf|text classification using string kernels}}
       * {{:nlp10.pdf|text classification}}
       * {{:mlas06_cohen_tc.ppt|text classification tutorial}}
       * {{:text_classification.ppt|text classification}}

  * parser evaluation
       * {{:10e-eval-2x3.pdf|parser evaluation}}
       * {{:13.pdf|evaluation of broad-coverage natural-language parsers}}
       * {{:0712.3705.pdf|framework and resources for NL parser evaluation}}
       * {{:774_paper.pdf|parser evaluation and the BNC}}
       * {{:acl07parseval.pdf|formalism-independent parser evaluation with CCG and DepBank}}
       * {{:d07-1066.pdf|treebank annotation schemes and parser evaluation for German}}
       * {{:lre98.pdf|parser evaluation: a survey and a new proposal}}
       * {{:nlp11.pdf|CNG classification}}
       * {{:p60-simov-ranlp03.pdf|HPSG-based annotation scheme for corpora development and parsing evaluation}}
       * {{:pe08rimell_constructing.pdf|constructing a parser evaluation scheme}}
       * {{:syntax.pdf|automatic parser evaluation}}
       * {{:versley-tlt05.pdf|parser evaluation}}

  * probabilistic modeling and joint probability model
       * {{:08models-prob.pdf|the probabilistic model}}
       * {{:10_1_.1.1.23.9849.pdf|conditional random fields}}
       * {{:ecir2008tutorialhiemstra-new.pdf|advanced language modeling approaches}}
       * {{:fuhr_92.pdf|probabilistic models in information retrieval}}
       * {{:ir-probablistic-strategy.pdf|probabilistic retrieval}}
       * {{:lecture20.pdf|foundations of probabilistic modelling}}
       * {{:nlp12.pdf|probabilistic modelling}}
       * {{:nlp13.pdf|joint distribution model}}

  * fully independent model and naive Bayes model
       * {{:10_1_.1.1.48.529.pdf|model selection}}
       * {{:10_1_.1.1.65.9324.pdf|A comparison of event models for naive Bayes text classifcation}}
       * {{:10_1_.1.1.73.5412.pdf|improving text classifcation by shrinkage in a hierarchy of classes}}
       * {{:10_1_.1.1.112.8246.pdf|discriminative probabilistic models for relational data}}
       * {{:kdd96-061.pdf|learning limited dependence Bayesian classifiers}}
       * {{:nlp14.pdf|fully independent model}}
       * {{:nlp15.pdf|naive Bayes model}}

  * n-gram model
       * {{:10_1_.1.1.87.754.pdf|n-gram author profiles}}
       * {{:01342667.pdf|}}
       * {{:aaac.pdf|}}
       * {{:d07-1045.pdf|}}
       * {{:daltrec05spam.pdf|}}
       * {{:fulltext.pdf|}}
       * {{:ijcai09-252.pdf|}}
       * {{:n03-1020.pdf|}}
       * {{:nlp16.pdf|}}
       * {{:pacling05a.pdf|}}
       * {{:pst04.pdf|}}
      
  * hidden Markov model
       * {{:c96-2141.pdf|hmm word alignment in statistical translation}}
       * {{:hmm_tutorial.pdf|}}
       * {{:hmm14.pdf|}}
       * {{:nlp17.pdf|}}

  * Bayesian networks
       * {{:bayesinf05.pdf|Bayesian networks - independencies & inference}}
       * {{:bayesnet09.pdf|}}
       * {{:bayesstruct05.pdf|}}
       * {{:bn.pdf|}}
       * {{:gaussbc12.pdf|}}
       * {{:naive02.pdf|}}
       * {{:nlp18.pdf|}}
       * {{:prob18.pdf|}}
       * {{:shortbayes03.pdf|}}
       * {{:tr-95-06.pdf|}}

  * Probabilistic parsing
       * {{:1104.pdf|probabilistic parsing}}
       * {{:c00-1017.pdf|probabilistic parsing and psychological plausibility}}
       * {{:doplecture.pdf|probabilistic parsing}}
       * {{:iicall06.pdf|detecting grammatical errors using probabilistic parsing}}
       * {{:nlp21.pdf|probabilistic context-free-grammars}}
       * {{:p04-1069.pdf|probabilistic parsing strategies}}
       * {{:unlexicalized-parsing.pdf|accurate unlexicalized parsing}}
       * {{:probabilistic_parsers_on_the_web.doc|probabilistic parsers on he web}}