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courses:rg:wishlist [2013/11/27 11:11]
lauschmannova 		courses:rg:wishlist [2014/10/13 20:20] (current)
ebrahimian
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 ==== Parsing ==== ==== Parsing ====
  
-  * Keith Hall: [[http://aclweb.org/anthology-new/P/P07/P07-1050.pdf|k-best Spanning Tree Parsing]] ACL 2007+  * Goldberg & Orwant: [[http://www.aclweb.org/anthology/S13-1035.pdf|A Dataset of Syntactic-Ngrams over Time from a Very Large Corpus of English Books]], 2013 
 +  * Yuan Zhang et al.: [[https://people.csail.mit.edu/regina/my_papers/inf14.pdf|Steps to Excellence: Simple Inference with Refined Scoring of Dependency Trees]], 2014 
 +  * Kong & Smith: [[http://arxiv.org/pdf/1404.4314v1.pdf|An Empirical Comparison of Parsing Methods for Stanford Dependencies]], 2014 
 +  * Ballesteros & Nivre: [[http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=9182723|Malt Optimizer: Fast and effective parser optimization]], 2014 
 +  * <del>Keith Hall: [[http://aclweb.org/anthology-new/P/P07/P07-1050.pdf|k-best Spanning Tree Parsing]] ACL 2007</del>
   * Introduction to MALT Parser (one of the many papers by Joakim Nivre) + one advance technique, e.g. [[http://www.aclweb.org/anthology-new/W/W09/W09-3811.pdf|An Improved Oracle for Dependency Parsing with Online Reordering]]   * Introduction to MALT Parser (one of the many papers by Joakim Nivre) + one advance technique, e.g. [[http://www.aclweb.org/anthology-new/W/W09/W09-3811.pdf|An Improved Oracle for Dependency Parsing with Online Reordering]]
   * Koo et al.: [[http://www.aclweb.org/anthology-new/D/D10/D10-1125.pdf|Dual Decomposition for Parsing with Non-Projective Head Automata]] EMNLP 2010.   * Koo et al.: [[http://www.aclweb.org/anthology-new/D/D10/D10-1125.pdf|Dual Decomposition for Parsing with Non-Projective Head Automata]] EMNLP 2010.
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 ==== Machine Learning ==== ==== Machine Learning ====
   * Something about <del>[[http://searn.hal3.name/|SEARN]]</del>, [[http://www.cs.utah.edu/~hal/megam/|MegaM]], [[http://hunch.net/~vw/|Vowpal Wabbit]] and/or its applications. [[courses:rg:2012:searn-in-practice|SEARN]] could be presented once again, if someone goes through the source codes.   * Something about <del>[[http://searn.hal3.name/|SEARN]]</del>, [[http://www.cs.utah.edu/~hal/megam/|MegaM]], [[http://hunch.net/~vw/|Vowpal Wabbit]] and/or its applications. [[courses:rg:2012:searn-in-practice|SEARN]] could be presented once again, if someone goes through the source codes.
-  * Yoav Goldberg, Michael Elhadad: [[http://aclweb.org/anthology/P/P08/P08-2060.pdf|splitSVM: Fast, Space-Efficient, non-Heuristic, Polynomial Kernel +  * <del>Yoav Goldberg, Michael Elhadad: [[http://aclweb.org/anthology/P/P08/P08-2060.pdf|splitSVM: Fast, Space-Efficient, non-Heuristic, Polynomial Kernel 
-Computation for NLP Applications]] ACL 2008+Computation for NLP Applications]] ACL 2008</del>
   * <del>Ryan McDonald, Keith Hall, Gideon Mann: [[http://aclweb.org/anthology-new/N/N10/N10-1069.pdf|Distributed Training Strategies for the Structured Perceptron]]</del>   * <del>Ryan McDonald, Keith Hall, Gideon Mann: [[http://aclweb.org/anthology-new/N/N10/N10-1069.pdf|Distributed Training Strategies for the Structured Perceptron]]</del>
   * Kernels and Tree kernels:   * Kernels and Tree kernels:

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