Changes: Weakly-supervised learning

Latest revision as of 09:47, 25 August 2016

Reinforcement learning
Type-supervised learning
Semisupervised learning
Multiple-instance learning: "uses training examples grouped into sets, commonly referred to as bags. A single label (either positive or negative) is assigned to each bag. A positive label indicates that the bag includes at least one example belonging to the positive class. A negative label denotes that all instances of the bag belong to the negative class." (Torresani, 2016)

What kind of supervision is available?

@@ Line 1: / Line 1: @@
+* [[Reinforcement learning for NLP|Reinforcement learning]]
 * [[Type-supervised learning]]
+* [[Semisupervised learning]]
-*
+* Multiple-instance learning: "uses training examples grouped into sets, commonly referred to as bags. A single label (either positive or negative) is assigned to each bag. A positive label indicates that the bag includes at least one example belonging to the positive class. A negative label denotes that all instances of the bag belong to the negative class." ([http://link.springer.com/referenceworkentry/10.1007%2F978-0-387-31439-6_308 Torresani, 2016])
-[[Category:Weekly-supervised learning]]
+TODO: [http://yoavartzi.com/pub/afz-tutorial.acl.2013.pdf ACL Tutorial 2013 on semantic parsing]
+What kind of supervision is available?
+* Annotated parse trees [Miller et al. 1994]
+* Sentence-LF pairs [Zettlemoyer and Collins 2005]
+* Question-answer pairs [Clarke et al. 2010]
+* Instruction-demonstration pairs [Chen and Mooney 2011]
+* Conversation logs [Artzi and Zettlemoyer 2011]
+* Visual sensors [Matuszek et al. 2012a]
+[[Category:Weakly-supervised learning]]