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Both sides previous revision Previous revision 2014/10/14 00:28 ufal 2014/10/14 00:28 ufal 2014/10/13 22:56 ufal 2014/10/13 22:48 ufal 2014/10/13 22:43 ufal created Go Next revision		Previous revision 2014/10/14 00:28 ufal 2014/10/14 00:28 ufal 2014/10/13 22:56 ufal 2014/10/13 22:48 ufal 2014/10/13 22:43 ufal created Go
courses:rg:2014:perceptron [2014/10/13 22:56] ufal		courses:rg:2014:perceptron [2014/10/14 00:28] (current) ufal
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-	**Questions are not final yet and may change slightly.**	+	===== Paper =====
		+
		+	Michael Collins: [[http://ucrel.lancs.ac.uk/acl/W/W02/W02-1001.pdf|Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms]], EMNLP 2002.
		+
		+	===== Questions =====
	1. Suppose you have a tagset consisting of two tags, N(noun), X(not noun) and a training sentence:		1. Suppose you have a tagset consisting of two tags, N(noun), X(not noun) and a training sentence:

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