Users commonly rely just on scarce textual annotation when their searches for images are semantic or conceptual based. Rich visual information is often thrown away in basic annota...
A probabilistic learning model for vague queries and missing or imprecise information in databases is described. Instead of retrieving only a set of answers, our approach yields a...
We introduce a grocery retrieval system that maps shopping lists written in natural language into actual products in a grocery store. We have developed the system using nine month...
Petteri Nurmi, Eemil Lagerspetz, Wray L. Buntine, ...
Community QA portals provide an important resource for non-factoid question-answering. The inherent noisiness of user-generated data makes the identification of high-quality cont...
Information retrieval systems can be partitioned into two main classes: large-scale systems that make use of an inverted index or some other auxiliary data structure, intended for...