Anagha Kulkarni

Dr. Kulkarni
Assistant Professor
Sophomore Advisor
Information Retrieval, Natural Language Processing, and Machine Learning

Contact Information

Phone: 
(415) 338-2539
Email: 

Office Information: 

Building: 
Thornton Hall
Room Number: 
970
Office Hours: 
Wednesday: 16:00-17:00
Friday: 12:30-13:30
Advising Hours Same as Office Hours

Recent Projects

Publications:

  1. Kulkarni A. and Callan J. Selective Search: Efficient and Effective Search of Large Textual Collections. ACM Transactions on Information Systems, 33(4). ACM. 2015.
  2. Kulkarni A. ShRkC: Shard Rank Cutoff Prediction for Selective Search. In the Proceedings of the 22nd International Symposium on String Processing and Information Retrieval. SPIRE 2015.
  3. Kulkarni A. Searching Large Textual Dataset With Limited Computational Resources. In the Proceedings of the Grace Hopper Conference. 2015.
  4. Kulkarni A., Tigelaar A., Hiemstra D. and Callan J. (2012) Shard Ranking and Cutoff Estimation for Topically Partitioned Collections: In the Proceedings of the ACM Conference on Information and Knowledge Management, Oct 2012, Maui, USA.

Awards:

  1. Sub-contract of NIH R01, 2016 – 2020, Selective Search: Text Mining for Hi-Fi Curation 

Website:

Dr. Kulkarni Website