The importance of evaluation in promoting research and development in the information retrieval and natural language processing domains has long been recognised but is this suffic...
The importance of evaluation in promoting research and development in the information retrieval and natural language processing domains has long been recognised but is this suffic...
Carol Peters, Martin Braschler, Giorgio Maria Di N...
Recent work on information integration has yielded novel and efficient solutions for gathering data from the World Wide Web. However, there has been little attention given to the ...
Greg Barish, Dan DiPasquo, Craig A. Knoblock, Stev...
A concept of linearly graded statistical models for analogue performance evaluation is proposed and a suitable technique for automatic generation of analogue performance models us...
Abstract. This paper presents KES (Knowledge Extraction and Summarization), a new knowledge-enhanced approach that builds a case memory out of episodic textual narratives. These na...