This paper presents a transductive approach to learn ranking functions for extractive multi-document summarization. At the first stage, the proposed approach identifies topic th...
Small-sample learning in image retrieval is a pertinent and interesting problem. Relevance feedback is an active area of research that seeks to find algorithms that are robust wi...
Charlie K. Dagli, ShyamSundar Rajaram, Thomas S. H...
Clinical reports often include descriptions of events in the patient’s medical history, as well as explicit or implicit temporal information about these events. We are working t...
The information state of an agent is changed when a text (in natural language) is processed. The meaning of a text can be taken to be this information state change potential. The ...
In Chinese, phrases and named entities play a central role in information retrieval. Abbreviations, however, make keyword-based approaches less effective. This paper presents an em...