We present a new method for detecting and disambiguating named entities in open domain text. A disambiguation SVM kernel is trained to exploit the high coverage and rich structure...
This paper proposes a method to find the most suitable architecture for a given response time requirement for Example-Retrieval (ER), which searches for the best match from a bulk...
The multimedia information retrieval community has dedicated extensive research effort to the problem of content-based image retrieval (CBIR). However, these systems find their ma...
Tom Yeh, Brandyn White, Jose San Pedro, Boris Katz...
Context influences the search process, but to date research has not definitively identified which aspects of context are the most influential for information retrieval, and thus a...
Luanne Freund, Elaine G. Toms, Charles L. A. Clark...
We present a novel framework for answering complex questions that relies on question decomposition. Complex questions are decomposed by a procedure that operates on a Markov chain...
Sanda M. Harabagiu, V. Finley Lacatusu, Andrew Hic...