Difference between revisions of "User:Rnshah"
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| − | + | === About me === | |
| − | My name is Rushin Shah, and I'm a second year LTI Master's student. I | + | My name is Rushin Shah, and I'm a second year LTI Master's student. I work in the field of entity extraction and resolution, and I'm really interested in performing research in these areas on new kinds of data, such as short message streams produced by social media websites. I'm also interested in analyzing the properties of social networks, and these are some of my main motivations for taking the Analysis of Social Media course. Also, I took the Information Extraction course last semester, and I'm interested to see if I can successfully apply the some of the techniques and algorithms taught in that class to social media. |
This is my [http://www.cs.cmu.edu/~rnshah/ homepage] and here's my [http://www.cs.cmu.edu/~rnshah/resume.pdf resume]. My areas of interest are machine learning, information extraction, natural language processing, social media and recommendation systems. | This is my [http://www.cs.cmu.edu/~rnshah/ homepage] and here's my [http://www.cs.cmu.edu/~rnshah/resume.pdf resume]. My areas of interest are machine learning, information extraction, natural language processing, social media and recommendation systems. | ||
| − | + | === Blurb for Information Extraction, 2010: === | |
| + | I want to get an in-depth understanding of the various challenges, ideas and techniques covered in the field of information extraction. I'm currently working with [http://www.cs.cmu.edu/~ref/ Dr. Robert Frederking] on multilingual named entity extraction and co-reference resolution. One particular problem that we're working on right now is cross-document co-reference resolution, and I hope to be able to apply the knowledge that I get from this course towards furthering our research. | ||
| + | |||
| + | === Wiki Pages for Analysis of Social Media === | ||
| + | April 2011: | ||
| + | * [[ Leskovec, J., L. Backstrom, and J. Kleinberg. 2009. Meme-tracking and the Dynamics of the News Cycle. In Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, 497–506. ]] | ||
| + | * [[ Leskovec, Backstrom and Kleinberg KDD 09 News and Blog dataset]] | ||
| + | |||
| + | March 2011: | ||
| + | |||
| + | * [[ Sun, E., I. Rosenn, C. A Marlow, and T. M Lento. Gesundheit! Modeling Contagion through Facebook News Feed. Proc. ICWSM 9. ]] | ||
| + | * [[ Rao, D., D. Yarowsky, A. Shreevats, and M. Gupta. 2010. Classifying latent user attributes in twitter. In Proceedings of the 2nd international workshop on Search and mining user-generated contents, 37–44. ]] | ||
| + | * [[Negative Binomial Regression]] | ||
| + | * [[Support Vector Machines]] | ||
| + | |||
| + | === Presentation for Analysis of Social Media === | ||
| + | http://malt.ml.cmu.edu/mw/images/5/5f/Joint_group_and_topic_discovery_from_relations_and_text.ppt | ||
| + | |||
| + | === Wiki Pages for Information Extraction === | ||
| + | September 2010: | ||
[[Frietag 2000 Maximum Entropy Markov Models for Information Extraction and Segmentation]] | [[Frietag 2000 Maximum Entropy Markov Models for Information Extraction and Segmentation]] | ||
| Line 19: | Line 38: | ||
[[Within Document Coreference (WDC)]] | [[Within Document Coreference (WDC)]] | ||
| − | + | October 2010: | |
[[Cross Document Coreference (CDC)]] | [[Cross Document Coreference (CDC)]] | ||
| Line 27: | Line 46: | ||
[[Relation Extraction]] | [[Relation Extraction]] | ||
| − | + | November 2010: | |
[[Ravichandran and Hovy, ACL 2002: Learning Surface Text Patterns for a Question Answering System]] | [[Ravichandran and Hovy, ACL 2002: Learning Surface Text Patterns for a Question Answering System]] | ||
| Line 33: | Line 52: | ||
[[Huang et al, ACL 2009: Profile Based Cross-Document Coreference Using Kernelized Fuzzy Relational Clustering]] | [[Huang et al, ACL 2009: Profile Based Cross-Document Coreference Using Kernelized Fuzzy Relational Clustering]] | ||
| − | [[Huang et al, | + | [[Huang et al, Coling 2010: Enhancing Cross Document Coreference of Web Documents with Context Similarity and Very Large Scale Text Categorization]] |
Latest revision as of 17:11, 22 April 2011
Contents
Rushin Shah
About me
My name is Rushin Shah, and I'm a second year LTI Master's student. I work in the field of entity extraction and resolution, and I'm really interested in performing research in these areas on new kinds of data, such as short message streams produced by social media websites. I'm also interested in analyzing the properties of social networks, and these are some of my main motivations for taking the Analysis of Social Media course. Also, I took the Information Extraction course last semester, and I'm interested to see if I can successfully apply the some of the techniques and algorithms taught in that class to social media.
This is my homepage and here's my resume. My areas of interest are machine learning, information extraction, natural language processing, social media and recommendation systems.
Blurb for Information Extraction, 2010:
I want to get an in-depth understanding of the various challenges, ideas and techniques covered in the field of information extraction. I'm currently working with Dr. Robert Frederking on multilingual named entity extraction and co-reference resolution. One particular problem that we're working on right now is cross-document co-reference resolution, and I hope to be able to apply the knowledge that I get from this course towards furthering our research.
Wiki Pages for Analysis of Social Media
April 2011:
- Leskovec, J., L. Backstrom, and J. Kleinberg. 2009. Meme-tracking and the Dynamics of the News Cycle. In Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, 497–506.
- Leskovec, Backstrom and Kleinberg KDD 09 News and Blog dataset
March 2011:
- Sun, E., I. Rosenn, C. A Marlow, and T. M Lento. Gesundheit! Modeling Contagion through Facebook News Feed. Proc. ICWSM 9.
- Rao, D., D. Yarowsky, A. Shreevats, and M. Gupta. 2010. Classifying latent user attributes in twitter. In Proceedings of the 2nd international workshop on Search and mining user-generated contents, 37–44.
- Negative Binomial Regression
- Support Vector Machines
Presentation for Analysis of Social Media
http://malt.ml.cmu.edu/mw/images/5/5f/Joint_group_and_topic_discovery_from_relations_and_text.ppt
Wiki Pages for Information Extraction
September 2010:
Frietag 2000 Maximum Entropy Markov Models for Information Extraction and Segmentation
Lafferty 2001 Conditional Random Fields
Within Document Coreference (WDC)
October 2010:
Cross Document Coreference (CDC)
November 2010:
Ravichandran and Hovy, ACL 2002: Learning Surface Text Patterns for a Question Answering System
