In this paper we unify two supposedly distinct tasks in multimedia retrieval. One task involves answering queries with a few examples. The other involves learning models for seman...
This paper discusses a new type of semi-supervised document clustering that uses partial supervision to partition a large set of documents. Most clustering methods organizes docum...
In contrast to traditional information retrieval systems, which return ranked lists of documents that users must manually browse through, a question answering system attempts to d...
The field of information retrieval still strives to develop models which allow semantic information to be integrated in the ranking process to improve performance in comparison to...
Information retrieval (IR) functions serve a critical role in many digital library systems. There are numerous mature IR algorithms that have been implemented and it will be a was...