Pseudo-relevance feedback is an effective technique for improving retrieval results. Traditional feedback algorithms use a whole feedback document as a unit to extract words for ...
In this paper, we present a prototype that helps visualizing the relative importance of sentences extracted from medical texts using Embodied Conversational Agents (ECA). We propo...
In this paper, we describe the ChemXSeer system that hosts data and scholarly articles related to chemical kinetics. Domain scientists have different needs that are not served by ...
Prasenjit Mitra, C. Lee Giles, Bingjun Sun, Ying L...
Our work deals with schema or ontology matching and is driven by the following statements: (1) Most of works only consider intensional description of schemas; (2) They mostly use s...
Complex questions that require inferencing and synthesizing information from multiple documents can be seen as a kind of topicoriented, informative multi-document summarization. I...