Proposed Papers
Current
Nivre, J. Non-Projective Dependency Parsing in Expected Linear Time.
ACL 2009
http://www.aclweb.org/anthology/P/P09/P09-1040.pdf
proposed by Leif, Nov 2009
Levy, R., Reali, F., & Griffiths, T. L. Modeling the effects of memory
on human online sentence processing with particle filters.
NIPS 2009
http://cocosci.berkeley.edu/tom/papers/sentencepf1.pdf
proposed by Leif, Oct 2009
S. Pado and M. Galley and D. Jurafsky and C. Manning. Robust Machine
Translation Evaluation with Entailment Features.
Proceedings of ACL 2009.
http://www.aclweb.org/anthology/P/P09/P09-1034
proposed by Katrin, Sep 2009
Sujith Ravi and Kevin Knight. Minimized Models for Unsupervised Part-of-Speech Tagging
Proceedings of ACL-IJCNLP 2009.
http://www.aclweb.org/anthology/P/P09/P09-1057
proposed by Elias, Sep 2009
Markus Dreyer and Jason Eisner. Graphical Models over Multiple Strings
Proceedings of EMNLP 2009.
http://aclweb.org/anthology-new/D/D09/D09-1011.pdf
proposed by Elias, Sep 2009
Dipanjan Das and Noah A. Smith. Paraphrase Identification as Probabilistic Quasi-Synchronous Recognition.
Proceedings of ACL-IJCNLP 2009.
http://www.aclweb.org/anthology-new/P/P09/P09-1053.pdf
proposed by Katrin, Aug 2009
Katsumasa Yoshikawa, Sebastian Riedel, Masayuki Asahara and Yuji Matsumoto. Jointly Identifying Temporal Relations with Markov Logic.
Proceedings of ACL-IJCNLP 2009.
http://www.aclweb.org/anthology-new/P/P09/P09-1046.pdf
proposed by Katrin, Aug 2009
Eyal Beigman and Beata Beigman Klebanov. Learning with Annotation Noise.
Proceedings of ACL-IJCNLP 2009.
http://www.aclweb.org/anthology-new/P/P09/P09-1032.pdf
Proposed by Katrin, Aug 2009
Dekang Lin and Xiaoyun Wu. Phrase Clustering for Discriminative Learning.
Proceedings of ACL 2009.
http://www.aclweb.org/anthology/P/P09/P09-1116.pdf
proposed by Elias, Aug 2009
Xavier Carreras, Michael Collins, and Terry Koo. TAG, Dynamic Programming and the Perceptron for Efficient, Feature-rich Parsing.
In Proceedings of CONLL 2008. (Received Best Paper Award)
http://people.csail.mit.edu/mcollins/papers/conll.final.pdf
proposed by Elias, Mar 2009
Gunjan Gupta and Joydeep Ghosh. Bregman Bubble Clustering: A Robust Framework for Mining Dense Clusters
ACM Transactions on Knowledge Discovery from Data, Vol. 2, No. 2, Article 8, Publication date: July 2008.
http://www.ideal.ece.utexas.edu/papers/gugh08a.pdf
proposed by Jason, Jan 2009