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Reading Group

Official name of this course is NPFL095 Modern Methods in Computational Linguistics. It is a continuation of informal Reading Group (RG) meetings. Requirements for getting credits:

All questions, reports and presented papers must be in English. The presentations are in English by default, but if all present people agree it may be in Czech.

Contact popel@ufal.mff.cuni.cz
Mailing list rg@ufal.mff.cuni.cz
Meetings Mondays 16:00, room S1
Past meetings courses:rg:past
Inspiration courses:rg:wishlist
Other reading groups Machine Learning RG

Autumn&Winter 2014/2015

date speaker paper
Oct 6 startup meeting
Oct 13 Jindřich Libovický Peter F. Brown et all.: Class-Based n-gram Models of Natural Language, Computational Linguistics, 1992. See also notes about the mkcls implementation
Oct 20 Tomáš Kraut Michael Collins: Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms, EMNLP 2002. Questions
Oct 27 Roman Sudarikov Andrew McCallum, Dayne Freitag, Fernando Pereira: Maximum Entropy Markov Models for Information Extraction and Segmentation, Conference on Machine Learning 2000, slides Question
Nov 3 Dušan Variš John Lafferty, Andrew McCallum, Fernando Pereira: Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data, 2001. Questions
Nov 10 Duc Tam Hoang Joseph Turian, Lev Ratinov, Yoshua Bengio: Word representations: A simple and general method for semi-supervised learning, ACL 2010. Questions
Nov 17 no RG (Struggle for Freedom and Democracy Day)
Nov 24 Vendula Michlíková Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu: BLEU: a Method for Automatic Evaluation of Machine Translation, ACL 2002
Dec 1 Richard Ejem Marco Pennacchiotti, Patrick Pantel: Entity Extraction via Ensemble Semantics, ACL 2009.
Dec 8 Nguyen Tien Dat Elia Bruni and Marco Baroni: Distributional semantics from text and images, EMNLP 2010 : Distributional Semantics in Technicolor, ACL 2012
Dec 15 Ahmad Aghaebrahimian Yoav Goldberg, Michael Elhadad: splitSVM: Fast, Space Efficient, non-Heuristic, Polynomial Kernel Computation for NLP Applications ACL 2008
Jan 5 Michal Auersperger last RG

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