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class_presentations [2010/10/25 21:45] – nickclass_presentations [2010/10/26 13:40] (current) – nick
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        * {{:ig-mercer-kernel-performance-2006.pdf|evaluating kernel performance in multiCategory hypertext classification}}        * {{:ig-mercer-kernel-performance-2006.pdf|evaluating kernel performance in multiCategory hypertext classification}}
        * {{:joachims_98a.pdf|Text Categorization with Support VectorMachines}}        * {{:joachims_98a.pdf|Text Categorization with Support VectorMachines}}
-       * {{:lodhi02a.doc|text classification using string kernels}}+       * {{:lodhi02a.pdf|text classification using string kernels}}
        * {{:nlp10.pdf|text classification}}        * {{:nlp10.pdf|text classification}}
        * {{:mlas06_cohen_tc.ppt|text classification tutorial}}        * {{:mlas06_cohen_tc.ppt|text classification tutorial}}
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   * parser evaluation   * parser evaluation
        * {{:10e-eval-2x3.pdf|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   * probabilistic modeling and joint probability model
        * {{:08models-prob.pdf|the probabilistic 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   * fully independent model and naive Bayes model
        * {{:10_1_.1.1.48.529.pdf|model selection}}        * {{: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   * n-gram model
        * {{:10_1_.1.1.87.754.pdf|n-gram author profiles}}        * {{: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   * hidden Markov model
        * {{:c96-2141.pdf|hmm word alignment in statistical translation}}        * {{:c96-2141.pdf|hmm word alignment in statistical translation}}
 +       * {{:hmm_tutorial.pdf|}}
 +       * {{:hmm14.pdf|}}
 +       * {{:nlp17.pdf|}}
  
   * Bayesian networks   * Bayesian networks
        * {{:bayesinf05.pdf|Bayesian networks - independencies & inference}}        * {{: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   * Probabilistic parsing
        * {{:1104.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}}
  
class_presentations.1288043135.txt.gz · Last modified: 2010/10/25 21:45 by nick
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