Analyzing the Errors of Unsupervised Learning

By Percy Liang, Daniel Klein. 2008

30 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Percy Liang
2. Dan Roth
3. Yoshua Bengio
4. Mohit Bansal
5. Ming-Wei Chang
6. Quoc V. Le
7. Luke S. Zettlemoyer
8. Richard Socher

Citations in the corpus

• Unsupervised Semantic Parsing (2009, background): “, the optimal parameters are not unique) (Liang and Klein, 2008).”
• Unsupervised Risk Estimation with only Structural Assumptions (2016, background): “However, a wide body of empirical evidence shows that, when the generative model is misspecified, the unlabeled examples can actually degrade performance (Merialdo, 1994; Cozman & Cohen, 2006; Liang & Klein, 2008; Li & Zhou, 2015).”
• Structured learning with constrained conditional models (2012, background): “This observation is consistent with Merialdo (1991), Liang and Klein (2008), Collins-Thompson (2009).”
• From Baby Steps to Leapfrog: How “Less is More” in Unsupervised Dependency Parsing (2010, background): “In the case of oracle training, we expected EM to walk away from supervised solutions (Elworthy, 1994; Meri- aldo, 1994; Liang and Klein, 2008), but the extent of its drops is alarming, e.g., from the supervised 69.8% (72.2”