Difference between revisions of "Class Meeting for 10-707 10/4/2010"
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Revision as of 10:42, 3 September 2010
This is one of the class meetings on the schedule for the course Information Extraction 10-707 in Fall 2010.
Perceptrons as Margin Learners
Required Readings
- Large Margin Classification Using the Perceptron Algorithm, Freund and Schapire. No writeup required for this paper, since the project proposal is due today.
Optional Readings
- Exponentiated gradient algorithms for large-margin structured classification, Bartlett et al, NILS 2004. An alternative perceptron-like learning paradigm - multiplicate update, rather than additive update.
- A High-Performance Semi-Supervised Learning Method for Text Chunking, Ando and Zhang, ACL 2005. A fascinating use of "transfer learning" to improve NER performance.
- Robust Risk Minimization based Named Entity Recognition System, Zhang and Johnson, CoNLL 2003. One of several approaches to the CoNLL 03 NER task.
- A Simple Named Entity Extractor using AdaBoost, Carreras et al, CoNLL 2003. One of several approaches to the CoNLL 03 NER task.
- Named Entity Recognition using Hundreds of Thousands of Features, Mayfield et a, CoNLL 2003. One of several approaches to the CoNLL 03 NER task.
