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--- courses:rg:wishlist [2012/03/22 23:15]
jawaid
+++ courses:rg:wishlist [2012/10/08 22:24]
rosa +hmeant (nemam konkrétní článek)
@@ Line 1: / Line 1: @@
 ====== Wishlist ======
-  * Keith Hall: [[http://aclweb.org/anthology-new/P/P07/P07-1050.pdf]|k-best Spanning Tree Parsing]] ACL 2007
+==== Parsing ====
+  * Keith Hall: [[http://aclweb.org/anthology-new/P/P07/P07-1050.pdf|k-best Spanning Tree Parsing]] ACL 2007
   * 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.
+  * Eugene Charniak: [[http://www.aclweb.org/anthology-new/A/A00/A00-2018.pdf|A maximum-entropy-inspired parser]] (Zdeněk Žabokrtský)
+==== Machine Learning ====
   * Something about [[http://searn.hal3.name/|SEARN]] or [[http://www.cs.utah.edu/~hal/megam/|MegaM]] and/or its applications
-  * <del>Jakob Uszkoreit, Thorsten Brants: [[http://www.aclweb.org/anthology-new/P/P08/P08-1086.pdf|Distributed Word Clustering for Large Scale Class-Based Language Modeling in Machine Translation]] ACL 2008</del>
+  * Andrew McCallum, Dayne Freitag, Fernando Pereira: [[http://www.ai.mit.edu/courses/6.891-nlp/READINGS/maxent.pdf|Maximum Entropy Markov Models for Information Extraction and Segmentation]], Conference on Machine Learning 2000, [[http://courses.ischool.berkeley.edu/i290-dm/s11/SECURE/gidofalvi.pdf|slides]]
-  * Ryan McDonald, Keith Hall, Gideon Mann: [[http://aclweb.org/anthology-new/N/N10/N10-1069.pdf|Distributed Training Strategies for the Structured Perceptron]]
+  * John Lafferty, Andrew McCallum, Fernando Pereira: [[http://www.cis.upenn.edu/~pereira/papers/crf.pdf|Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data]], 2001
   * 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
+  * Ryan McDonald, Keith Hall, Gideon Mann: [[http://aclweb.org/anthology-new/N/N10/N10-1069.pdf|Distributed Training Strategies for the Structured Perceptron]]
+==== Machine Translation ====
   * Ann Clifton, Anoop Sarkar: [[http://www.aclweb.org/anthology/P/P11/P11-1004.pdf|Combining Morpheme-based Machine Translation with Post-processing Morpheme Prediction]] ACL 2011
-  * Helmut Schmid, Florian Laws: [[http://www.aclweb.org/anthology-new/C/C08/C08-1098.pdf|Estimation of Conditional Probabilities With Decision Trees and an Application to Fine-Grained POS Tagging]] Coling 2008
   *  Taro Watanabe, Eiichiro Sumit: [[http://www.aclweb.org/anthology/P/P11/P11-1125.pdf|Machine Translation System Combination by Confusion Forest]] ACL 2011
   * Nan Duan, Mu Li, Ming Zhou: [[http://www.aclweb.org/anthology-new/P/P11/P11-1126.pdf|Hypothesis Mixture Decoding for Statistical Machine Translation]] ACL 2011
-==== Older ====
-  * Mark Johnson: [[http://acl.ldc.upenn.edu/D/D07/D07-1031.pdf|Why Doesn't EM Find Good HMM POS-Taggers?]] (Ondřej)
-  * Eugene Charniak: [[http://acl.ldc.upenn.edu/A/A00/A00-2018.pdf|A maximum-entropy-inspired parser]] (Zdeněk)
   * Abhishek Arun, Chris Dyer, Barry Haddow, Phil Blunsom, Adam Lopez and Philipp Koehn: [[http://www.aclweb.org/anthology/W/W09/W09-1114.pdf |Monte Carlo Inference and Maximization for Phrase-based Translation. Conference on Computational Natural Language Learning, 2009. ]]
   * Phil Blunsom, Trevor Cohn, Chris Dyer and Miles Osborne: [[http://homepages.inf.ed.ac.uk/pblunsom/pubs/blunsom-acl09.pdf|A Gibbs Sampler for Phrasal Synchronous Grammar Induction. ACL-IJCNLP 2009]]
   * Trevor Cohn and Phil Blunsom: [[http://homepages.inf.ed.ac.uk/pblunsom/pubs/cohn-blunsom-emnlp09.pdf|A Bayesian Model of Syntax-Directed Tree to String Grammar Induction. EMNLP 2009.]]
+  * Some MEANT or HMEANT paper, look for Dekai Wu as author or (better) ask Ondřej Bojar
+==== Other ====
+  * <del>Jakob Uszkoreit, Thorsten Brants: [[http://www.aclweb.org/anthology-new/P/P08/P08-1086.pdf|Distributed Word Clustering for Large Scale Class-Based Language Modeling in Machine Translation]] ACL 2008</del>
+  * Helmut Schmid, Florian Laws: [[http://www.aclweb.org/anthology-new/C/C08/C08-1098.pdf|Estimation of Conditional Probabilities With Decision Trees and an Application to Fine-Grained POS Tagging]] Coling 2008
+  * Mark Johnson: [[http://acl.ldc.upenn.edu/D/D07/D07-1031.pdf|Why Doesn't EM Find Good HMM POS-Taggers?]] (Ondřej Bojar)
-A source of inspiration: [[http://www.statmt.org/ued/?n=Public.WeeklyMeeting|Edinburgh Reading Group]], [[http://www.aclweb.org/anthology-new/|ACL archive]], [[http://scholar.google.com]]
+==== A source of inspiration ====
+   * [[https://wiki.cs.umd.edu/mlrg/index.php?title=Spring11|Machine Learning RG: Large Data Stuff]]
+   * [[http://www.cs.utah.edu/~suresh/mediawiki/index.php/MLRG/spring10|Machine Learning RG: Structured prediction]]
+   * [[http://www.cs.utah.edu/~suresh/mediawiki/index.php/MLRG|Machine Learning RG: Semisupervised and Active Learning]]
+   * [[http://www.statmt.org/ued/?n=Public.WeeklyMeeting|Edinburgh Reading Group]],
+   * [[http://www.aclweb.org/anthology-new/|ACL archive]], [[http://scholar.google.com]]

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