Difference between revisions of "User:Akgoyal"
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== Papers == | == Papers == | ||
| − | *[[Carreras et al, CoNLL 2003 | A simple named entity extractor using AdaBoost]] | + | *[[Carreras et al, CoNLL 2003 | A simple named entity extractor using AdaBoost]] (Sep) |
| − | *[[Ratliff, AISTATS 2007 | (Online) Subgradient Methods for Structured Prediction]] | + | *[[Ratliff, AISTATS 2007 | (Online) Subgradient Methods for Structured Prediction]] (Sep) |
| − | *[[Heckerman, JMLR 2000 | Dependency Networks for Inference, Collaborative Filtering, and Data Visualization]] | + | *[[Heckerman, JMLR 2000 | Dependency Networks for Inference, Collaborative Filtering, and Data Visualization]] (Sep) |
| − | *[[Choi, ACL 2010 | Hierarchical Sequential Learning for Extracting Opinions and their Attributes]] | + | *[[Choi, ACL 2010 | Hierarchical Sequential Learning for Extracting Opinions and their Attributes]] (Sep) |
| − | *[[Klein et al, ACL 2002 | A generative constituent-context model for improved grammar induction]] | + | |
| − | *[[Hwa et al, 1999 | Supervised grammar induction using training data with limited constituent information]] | + | |
| + | *[[Klein et al, ACL 2002 | A generative constituent-context model for improved grammar induction]] (Oct) | ||
| + | *[[Hwa et al, 1999 | Supervised grammar induction using training data with limited constituent information]] (Oct) | ||
| + | |||
| + | == Methods == | ||
| + | *[http://malt.ml.cmu.edu/mw/index.php/Subgradient Subgradient] (Nov) | ||
| + | |||
| + | *[http://malt.ml.cmu.edu/mw/index.php/Dependency_network Dependency Network] (Nov) | ||
Latest revision as of 14:40, 30 November 2011
I am Anuj, a second year Masters student at the LTI. Here is my homepage. I am working on Social Media Analysis at the SAILING LAB. My interests are Machine Learning and Information Retrieval.
In this course I want to learn different machine learning techniques for structured prediction.
Papers
- A simple named entity extractor using AdaBoost (Sep)
- (Online) Subgradient Methods for Structured Prediction (Sep)
- Dependency Networks for Inference, Collaborative Filtering, and Data Visualization (Sep)
- Hierarchical Sequential Learning for Extracting Opinions and their Attributes (Sep)
- A generative constituent-context model for improved grammar induction (Oct)
- Supervised grammar induction using training data with limited constituent information (Oct)
Methods
- Subgradient (Nov)
- Dependency Network (Nov)
