Preethi Raghavan

  PhD Student
  Dept. of Computer Science & Engineering
  The Ohio State University
Who am I? Research Publications Internships Contact

I am a PhD student in Computer Science and Engineering at the Ohio State University. I am co-advised by Dr. Eric Fosler-Lussier and Dr. Albert Lai. I am part of the CSE Speech and Language Technologies (SLaTe) Lab and my research interests include natural language processing and information retreival.


I received a Masters in Computer Science and Engineering from The Ohio State University in 2009.

Research

The overall goal of my research is to build an information extraction pipeline leveraging semantic and temporal information found in unstructured medical text. I specifically work on coreference resolution and temporal reasoning problems in unstructured clinical notes.

Pubications & Posters


1. Preethi Raghavan, Eric Fosler-Lussier, Albert M. Lai. Temporal Classification of Medical Events. BioNLP 2012


2. Preethi Raghavan, Eric Fosler-Lussier, Albert M. Lai. Learning to Temporally Order Medical Events in Clinical Text. (Short Paper) Association for Computational Linguistics Annual Meeting (ACL 2012).


3. Preethi Raghavan, Eric Fosler-Lussier, Albert M. Lai. Exploring Semi-Supervised Coreference Resolution of Medical Concepts using Semantic and Temporal Features. North American Association for Computational Linguistics Annual Meeting - Human Language Technologies Conference (NAACL HLT 2012).


4. Albert M. Lai, Preethi Raghavan. Inter-Annotator Reliability of Medical Events in Clinical Narratives by Annotators with Varying Levels of Clinical Expertise. Poster at the AMIA 2012 Clinical Research Informatics Summit


5. Preethi Raghavan, Eric Fosler-Lussier, Chris Brew, and Albert Lai. Medical Event Coreference Resolution using the UMLS Metathesaurus and Temporal Reasoning. ACM SIGHIT International Health Informatics Symposium, 2012.


6. Preethi Raghavan, Chris Brew, Albert Lai. Information Extraction from Clinical Narratives Modeling. Poster at Grace Hopper 2011. Won NSF sponsored travel award.


7. Preethi Raghavan, Chris Brew, Albert Lai. Leveraging Natural Language Processing of Clinical Narratives for Clinical Phenotype Modeling. Poster at Ohio Celebration of Women in Computing (OCWIC), Feb 2011. Won Best Graduate Poster.


8. Preethi Raghavan and Albert M. Lai. 2010.Leveraging natural language processing of clinical narratives for phenotype modeling.In Proceedings of the 3rd workshop on Ph.D. students in Information and Knowledge Management, CIKM 2010.


9. Preethi Raghavan, Rose Catherine K, Shajith Ikbal, Nanda Kambhatla and Debapriyo Majumdar, Extracting Problem and Resolution Information from Online Discussion Forums. Proceedings of the International Conference on Management of Data (COMAD 2010)


10. Preethi Raghavan, Rose Catherine K., Shajith Ikbal and Nanda Kambhatla, Classification and Retrieval from Mailing Lists and Forums. Forum for Information Retrieval Evaluation (FIRE 2010).


11. Preethi Raghavan, Rajiv Ramnath, Jay Ramanathan, Zhe Xu, Framework for Improving Enterprise Services by Mining Customer Edge Data.IEEE International Conference on Collaboration, Technologies and Infrastructures (WETICE 2009).


12. Aman Kumar, Preethi Raghavan, Jay Ramanathan, Rajiv Ramnath, Interaction Ontology for Change Impact Analysis of Complex Systems. IEEE Asia-Pacific Services Computing Conference (APSCC 2008)

Internships

Jun 2011 - Sept 2011 Research Intern, eBay Research Labs, San Jose, California. Mentor: Dr. Neel Sundaresan.
Applying supervised and semi-supervised machine learning methods to mine information from product descriptions on eBay to help improve search.

Aug 2009 - Nov 2009 Research Intern, IBM Research Labs, Bangalore, India. Mentor: Dr. Nanda Kambhatla
Worked with the Human Language Technologies research group on using Conditional Random Fields (CRFs) to extract problem and resolution information from the SAP discussion forum.

Contact: raghavan.25@osu.edu