- Discovering Related Clinical Concepts Using Large Amounts of Clinical Notes, Ganesan K, Lloyd S, Sarkar V., Biomedical Engineering and Computational Biology.
- Linguistic Understanding of Complaints and Praises in User Reviews, Ganesan, Kavita, and Guangyu Zhou. Proceedings of NAACL-HLT. 2016.
- OpinoFetch: a practical and efficient approach to collecting opinions on arbitrary entities, Ganesan, Kavita, and ChengXiang Zhai. Information Retrieval Journal 18.6 (2015): 530-558.
- A General Supervised Approach to Segmentation of Clinical Texts, Ganesan, Kavita, and Michael Subotin, Big Data (Big Data), 2014 IEEE International Conference on Big Data, 2014.
- Opinion driven decision support system, Ganesan, Kavita Annapoorani. University of Illinois at Urbana-Champaign, 2013.
- Findilike: A preference driven entity search engine for evaluating entity retrieval and opinion summarization, Ganesan, Kavita, and ChengXiang Zhai. Proceedings of the 2013 workshop on Living labs for information retrieval evaluation. ACM, 2013.
- Micropinion generation: an unsupervised approach to generating ultra-concise summaries of opinions. Ganesan, Kavita, ChengXiang Zhai, and Evelyne Viegas. Proceedings of the 21st international conference on World Wide Web, 2012.
- Opinion-based entity ranking. Ganesan, Kavita, and Chengxiang Zhai. Information retrieval 15.2 (2012): 116-150.
- Ganesan, Kavita, and ChengXiang Zhai. “Findilike: preference driven entity search.” Proceedings of the 21st International Conference on World Wide Web. ACM, 2012.
- Kim, Hyun Duk, et al. Comprehensive review of opinion summarization, University of Illinois at Urbana Champaign, 2011.
- “Opinosis: A Graph Based Approach to Abstractive Summarization of Highly Redundant Opinions“, Proceedings of the 23rd International Conference on Computational Linguistics (COLING ’10), Beijing, China, 2010.
- Vydiswaran, V. G., et al. “Finding related entities by retrieving relations: UIUC at TREC 2009 entity track.” Text Retrieval Conference (TREC), 2009.
- Lv, Yuanhua, et al. A Study of Term Proximity and Document Weighting Normalization in Pseudo Relevance Feedback-UIUC at TREC 2009 Million Query Track., 2009.
- , Mining tag clouds and emoticons behind community feedback, WWW ’08: Proceeding of the 17th international conference on World Wide Web, Beijing, China, p.1181–1182
- “Multi-factor clustering for a marketplace search interface“, WWW ’07: Proceedings of the 16th international conference on World Wide Web, Banff, Canada, ACM, pp. 1181–1182, 2007.
- “EntityBases: Compiling, Organizing and Querying Massive Entity Repositories.“, IC-AI: CSREA Press, pp. 15-21, 2007.
- Question Answering using Vector Based Information Retrieval – Paradigm with Word Sense Disambiguation, , Los Angeles, Information Sciences Institute, University of Southern California, 2006.
- “Automated story capture from conversational speech“, K-CAP ’05: Proceedings of the 3rd international conference on Knowledge capture, Banff, Canada, ACM, pp. 145–152, 2005.