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courses:rg:wishlist [2012/05/22 18:27]
popel categories, two new wishes (MEMM and CRF)
courses:rg:wishlist [2012/10/15 11:08]
popel
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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+  * 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]]   * 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 [[http://searn.hal3.name/|SEARN]] or [[http://www.cs.utah.edu/~hal/megam/|MegaM]] and/or its applications+  * 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.
   * 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]]   * 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]]
   * 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   * 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
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 ==== Machine Translation ==== ==== Machine Translation ====
 +  * Something about word alignment, recap IBM 1-5 (GIZA++), using word classes, HMM alignments. What is state of the art?
   * 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   * 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
   *  Taro Watanabe, Eiichiro Sumit: [[http://www.aclweb.org/anthology/P/P11/P11-1125.pdf|Machine Translation System Combination by Confusion Forest]] ACL 2011   *  Taro Watanabe, Eiichiro Sumit: [[http://www.aclweb.org/anthology/P/P11/P11-1125.pdf|Machine Translation System Combination by Confusion Forest]] ACL 2011
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   * 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]]   * 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.]]   * 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.]]
 + 
 +==== MT Evaluation ====
 +  * Martin Popel would appreciate two RG meetings devoted to significance tests & MT evaluation. The two presenters should together read the following 4 papers (and related ones) and select two for presenting (one on bootstrap, one on approximate randomization).
 +    - Stefan Riezler and John T. Maxwell III: [[http://acl.ldc.upenn.edu/W/W05/W05-0908.pdf|On Some Pitfalls in Automatic Evaluation and Significance Testing for MT]] (page 67) ACL Workshop on Intrinsic and Extrinsic Evaluation Measures for Machine Translation, 2005.
 +    - Nicolas Stroppa, Karolina Owczarzak, Andy Way: [[http://doras.dcu.ie/15227/1/stroppa_owczarzak_07.pdf|A Cluster-Based Representation for Multi-System MT Evaluation]], 2007.
 +    - Philipp Koehn: [[http://acl.ldc.upenn.edu/acl2004/emnlp/pdf/Koehn.pdf|Statistical significance tests for machine translation evaluation]], EMNLP 2004.
 +    - 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?]]
  
 +
 +
 +
 +  * 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]] (or other MEANT or HMEANT paper, but this one seems to be THE main one)
  
 ==== Other ==== ==== Other ====
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    * [[http://www.cs.utah.edu/~suresh/mediawiki/index.php/MLRG|Machine Learning RG: Semisupervised and Active Learning]]    * [[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.statmt.org/ued/?n=Public.WeeklyMeeting|Edinburgh Reading Group]],
-   * [[http://www.aclweb.org/anthology-new/|ACL archive]], [[http://scholar.google.com]]+   * [[http://www.aclweb.org/anthology-new/|ACL archive]],I recommend trying the [[http://aclasb.dfki.de/|ACL Searchbench]] 
 +   [[http://scholar.google.com]]

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