Jeongwoo Ko received her PhD in Computer Science from Carnegie Mellon University. Currently, she is working on information retrieval at Google. Her research interests includes information retrieval, question answering, secure enterprise search, natural language processing, machine learning, entity extraction, multimodal mobile dialog system.
“Analysis of an Expert Search Query Log”, Yi Fang, Naveen Somasundaram, Luo Si, Jeongwoo Ko, Aditya P. Mathur, SIGIR, 2011.
[cs.purdue.edu] [pdf] [search]
“Combining Evidence with a Probabilistic Framework for Answer Ranking and Answer Merging in Question Answering”, Jeongwoo Ko, Luo Si, Eric Nyberg, Information Processing and Management, vol. 46 (2010), pp. 541-554.
[dx.doi.org] [search]
“Probabilistic Models for Answer Ranking in Multilingual Question Answering”, Jeongwoo Ko, Luo Si, Eric Nyberg, Teruko Mitamura, Transactions on Information Systems (2010).
[portal.acm.org] [pdf] [search]
“The JAVELIN Question-Answering System at TREC 2002”, Eric Nyberg, Teruko Mitamura, Jaime G. Carbonell, James P. Callan, Kevyn Collins-Thompson, Krzysztof Czuba, Michael Duggan, Laurie Hiyakumoto, N. Hu, Yifen Huang, Jeongwoo Ko, Lucian Vlad Lita, S. Murtagh, Vasco Pedro, David Svoboda, TREC, 2002.
[trec.nist.gov] [search]