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--- courses:rg:wishlist [2013/10/07 20:31]
rosa +rosa suggestions
+++ courses:rg:wishlist [2014/10/13 20:20] (current)
ebrahimian
@@ Line 3: / Line 3: @@
 ==== 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]]
   * 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.
@@ Line 11: / Line 15: @@
 === Treebanking ===
-  * Marneffe, Manning: [[http://dl.acm.org/ft_gateway.cfm?id=1608859&type=pdf&CFID=368635868&CFTOKEN=50943372|
+  * Marneffe, Manning: [[http://www.aclweb.org/anthology/W08-1301.pdf|
 The Stanford typed dependencies representation]] (Rudolf Rosa)
     * (accompanied by [[http://nlp.stanford.edu/downloads/dependencies_manual.pdf|Stanford typed dependencies manual]])
-  * McDonald and other Google people: [[http://www.newdesign.aclweb.org/anthology-new/P/P13/P13-2017.pdf|Universal dependency annotation for multilingual parsing]] (Rudolf Rosa)
+  * McDonald and other Google people: [[http://www.aclweb.org/anthology/P13-2017.pdf|Universal dependency annotation for multilingual parsing]] (Rudolf Rosa)
     * related: Petrov et al: [[http://arxiv.org/pdf/1104.2086v1.pdf|A universal part-of-speech tagset]]
   * HamleDT papers (Interset, HamleDT, coordinations)
@@ Line 20: / Line 24: @@
 ==== 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.
-  * 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>
   * Kernels and Tree kernels:
@@ Line 52: / Line 56: @@
     - <del>Philipp Koehn: [[http://acl.ldc.upenn.edu/acl2004/emnlp/pdf/Koehn.pdf|Statistical significance tests for machine translation evaluation]], EMNLP 2004.</del>
     - Ying Zhang, Stephan Vogel, Alex Waibel: [[http://www.lrec-conf.org/proceedings/lrec2004/pdf/755.pdf|Interpreting BLEU/NIST Scores: How Much Improvement Do We Need to Have a Better System?]]
-  * T. Berg-Kirkpatrick, D. Burkett, D. Klein: [[http://www.aclweb.org/anthology/D/D12/D12-1091.pdf|An Empirical Investigation of Statistical Significance in NLP]]
+  * <del>T. Berg-Kirkpatrick, D. Burkett, D. Klein: [[http://www.aclweb.org/anthology/D/D12/D12-1091.pdf|An Empirical Investigation of Statistical Significance in NLP]]</del>
   * <del>Chi-kiu LO and Dekai WU: [[http://www.cs.ust.hk/~dekai/library/WU_Dekai/LoWu_Acl2011.pdf|MEANT: An inexpensive, high-accuracy, semi-automatic metric for evaluating translation utility via semantic frames. ACL HLT 2011]]</del>

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