The PECO framework is a knowledge representation for formulating clinical questions. Queries are decomposed into four aspects, which are Patient-Problem (P), Exposure (E), Compari...
The Catchment Feature Model (CFM) addresses two questions in multimodal interaction: how do we bridge video and audio processing with the realities of human multimodal communicati...
The ability to correctly classify sentences that describe events is an important task for many natural language applications such as Question Answering (QA) and Text Summarisation....
This chapter tackles the relation between declarative languages and multi-agent systems by following the dictates of the five Ws (and one H) that characterize investigations. The ...
A Natural Language Interface for Databases allows users of multimedia kiosks to formulate natural language questions. User questions are first translated into a logic language and ...