Introduction
I am a research associate at the CS department of Stanford University with Prof. Chris Manning, in the Natural Language Processing group, a part of the Stanford Artificial Intelligence Laboratory.
My main research interests are in Machine Learning and its applications to Textual Information Retrieval, Information Extraction and Data mining. I am currently working on applying Machine Learning and NLP techniques to analyze the legal domain, specifically, in the area of Intellectual Property Litigations. Here is my detailed CV.
Background
Previously, I was a post doctoral fellow at the Machine Learning department in the School of Computer Science of Carnegie Mellon University, with Prof. John Lafferty and Prof. William Cohen. I also worked very closely with Prof. Eric Xing during this time. I earned a Ph.D. from the Computer Science department at University of Massachusetts, Amherst in 2006, where I worked with Prof. James Allan at the Center for Intelligent Information Retrieval. Previously, I earned a Masters' in Mechanical Engineering at the same school where I worked with Prof. Blair Perot. I earned my undergrad degree in Mechanical Engineering from Indian Institute of Technology, Mumbai, India, in 1998. A more detailed CV is here.
Contacts
I may be reached on email at [nmramesh]at[cs]dot[stanford]dot[edu]. My office is in William Gates Building, room 229, and my phone number is 650-721-6840.
Publications
2008
· Joint Topic Models for Text and Citations, Nallapati, R., Ahmed, A., Xing, E.P., Cohen, W., KDD 2008 [pdf]
· Exploiting Feature hierarchy for Transfer Learning in named Entity Recognition, Arnold, A., Nallapati, R. and Cohen W., ACL, 2008 [pdf]
· Link-PLSA-LDA: A new unsupervised model for topics and influence in blogs, Nallapati, R. and Cohen W., International Conference for Weblogs and Social Media, 2008, [pdf]
2007
·
Multi-scale
Topic Tomography, Nallapati, R., Cohen, W., Ditmore, S., Lafferty, J., Ung,
K., ACM-KDD, 2007. [pdf] [ppt]
· Parallelized Variational EM for Latent Dirichlet Allocation: An experimental evaluation of speed and scalability, Nallapati, R., Cohen, W., Lafferty, J., ICDM workshop on high performance data mining, 2007 [pdf] [ppt]
· Sparse Word Graphs: A scalable algorithm for capturing word correlations in topic models, Nallapati, R., Ahmed, A., Cohen W., Xing, E., ICDM workshop on High performance data mining, 2007 [pdf] [ppt]
· A Comparative Study of Methods for Transductive Transfer Learning, Arnold, A., Nallapati, R., and Cohen, W., ICDM 2007 Workshop on Mining and Management of Biological Data, 2007 [pdf]
2006
·
Smoothed
Dirichlet distribution: Understanding Cross-entropy ranking in information
retrieval, Ph.D. thesis,
2004
·
Event
Threading within News Topics, Nallapati, R., Feng, A., Peng, F., Allan, J.,
ACM-CIKM, 2004. [ps] [pdf]
· Discriminative Models for Information Retrieval, Nallapati, R., ACM-SIGIR, 2004. [ps] [pdf]
2003
· Relevant Query Feedback in Statistical Language Modeling, Nallapati, R., Croft, W.B. and Allan, J., short-paper, ACM-CIKM, 2003. [ps] [pdf]
· An Adaptive Local Dependency language Model: Relaxing the Naïve Bayes’ Assumption , Nallapati, Ramesh and Allan, J. , Workshop on Mathematical/Formal Methods in Information Retrieval, SIGIR-2003. [ps] [pdf]
· Semantic Language Models for Topic Detection and Tracking, Nallapati, R, HLT-NAACL student research workshop, 2003. [ps] [pdf]
2002
· Capturing Term Dependencies using a Sentence Tree based Language Model, Nallapati, R. and Allan, J., ACM-CIKM ’02 conference, pp. 383-390. [ps] [pdf]
· UMass at TDT 2002, James Allan, Victor Lavrenko and Ramesh Nallapati, Proceedings Topic Detection and Tracking workshop, 2002. [pdf]
OTHER TECHNICAL REPORTS
·
The
Smoothed Dirichlet distribution: A new Building block for generative topical
models, Nallapati, R., Minka, T. and Robertson S., CIIR Tech Report [pdf]
·
The
Smoothed Dirichlet distribution: Explaining KL-divergence in information
retrieval, Nallapati R., Minka, T.,
· Evaluating the Quality of Query refinement Suggestions in Information Retrieval , Nallapati, R. and Shah, C., CIIR Technical Report IR-521, 2006 [pdf].
· Extraction of key-words from news stories, Ramesh Nallapati, James Allan and Sridhar Mahadevan, CIIR Technical report # IR-345. [pdf]
Mechanical Engineering (My old avatar)
· Conservation properties of unstructured staggered mesh methods, Perot B. and Nallapati, R., American Physical Society, 52nd Annual Meeting of the Division of Fluid Dynamics, Vol 44, No. 8, Nov 1999.
· Numerical simulation of free surface flows using a moving mesh, Perot B. and Nallapati, R., American Society of Mechanical Engineers: 2000 Fluids Engineering Summer Conference.
Miscellaneous
·
A video lecture of my talk at KDD 2007 on
multiscale topic tomography.
·
A couple of demos based on my KDD 2007 paper are here
and here
(links take you to CMU web pages).
·
Here is a set of slides I made on the Junction Tree
Algorithm (ppt format).
·
Here are some slides I made on Conditional Random Fields
(ppt format).
·
My guest lecture in Prof. William Cohen’s course
on Social Media
Analysis on topic
models for community analysis in Fall 2007.