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--- courses:rg:wishlist [2012/10/14 22:07]
popel 4 new suggestions
+++ courses:rg:wishlist [2012/10/15 14:41]
popel papers about Tree kernels
@@ Line 15: / Line 15: @@
 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]]
+  * Kernels and Tree kernels:
+    * Something about kernel methods in general (for SVM, perceptron etc.)
+    * M. Collins and N. Duffy: [[http://www.cs.cmu.edu/Groups/NIPS/NIPS2001/papers/psgz/AA58.ps.gz|Convolution kernels for natural language]], NIPS 2001. And a [[http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.28.6355|related paper]].
+    * Aron Culotta, Jeffrey Sorensen: [[http://www.newdesign.aclweb.org/anthology-new/P/P04/P04-1054.pdf|Dependency Tree Kernels for Relation Extraction]]
 ==== 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
   *  Taro Watanabe, Eiichiro Sumit: [[http://www.aclweb.org/anthology/P/P11/P11-1125.pdf|Machine Translation System Combination by Confusion Forest]] ACL 2011
@@ Line 33: / Line 38: @@
+  * 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)
+  * Joseph P. Simmons, Leif D. Nelson, Uri Simonsohn: [[http://people.psych.cornell.edu/~jec7/pcd%20pubs/simmonsetal11.pdf|False-Positive Psychology: Undisclosed Flexibility in Data Collection and Analysis Allows Presenting Anything as Significant]], Psychological Science, 2011. Yes, it is a psychological paper, but it is very valuable for anyone doing/reading any evaluation with significance tests.
-  * 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 ====
@@ Line 47: / Line 52: @@
    * [[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]]
+   * [[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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