Difference between revisions of "Class Meeting for 10-710 09-20-2011"
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This is one of the class meetings on the [[Syllabus for Structured Prediction 10-710 in Fall 2011|schedule]] for the course [[Syllabus for Structured Prediction 10-710 in Fall 2011|Syllabus for Structured Prediction 10-210 in Fall 2011]]. | This is one of the class meetings on the [[Syllabus for Structured Prediction 10-710 in Fall 2011|schedule]] for the course [[Syllabus for Structured Prediction 10-710 in Fall 2011|Syllabus for Structured Prediction 10-210 in Fall 2011]]. | ||
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| + | === Perceptrons as Margin Learners === | ||
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| + | * [http://www.cs.cmu.edu/~wcohen/10-707/vp-notes/vp.pdf Notes] for the talk (no slides today!). | ||
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| + | === Required Readings === | ||
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| + | * [http://www.cs.ucsd.edu/~yfreund/papers/LargeMarginsUsingPerceptron.pdf Large Margin Classification Using the Perceptron Algorithm, Freund and Schapire.] | ||
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| + | === Optional Readings === | ||
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| + | * [http://people.csail.mit.edu/mcollins/papers/NIPS2004_0621.pdf 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. | ||
| + | * [[Ando and Zhang ACL 2005 | 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. | ||
| + | * [http://www.cnts.ua.ac.be/conll2003/pdf/20407zha.pdf Robust Risk Minimization based Named Entity Recognition System, Zhang and Johnson, CoNLL 2003]. One of several approaches to the CoNLL 03 NER task. | ||
| + | * [http://www.cnts.ua.ac.be/conll2003/pdf/15255car.pdf A Simple Named Entity Extractor using AdaBoost, Carreras et al, CoNLL 2003]. One of several approaches to the CoNLL 03 NER task. | ||
| + | * [http://www.cnts.ua.ac.be/conll2003/pdf/18487may.pdf Named Entity Recognition using Hundreds of Thousands of Features, Mayfield et a, CoNLL 2003] ([[Paper::Mayfield et al, CoNLL 2003|Wiki]]). One of several approaches to the CoNLL 03 NER task. | ||
Latest revision as of 00:20, 28 September 2011
This is one of the class meetings on the schedule for the course Syllabus for Structured Prediction 10-210 in Fall 2011.
Perceptrons as Margin Learners
- Notes for the talk (no slides today!).
Required Readings
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 (Wiki). One of several approaches to the CoNLL 03 NER task.
