In TREC 2007, Language Computer Corporation explored how a new, semantically-rich framework for information retrieval could be used to boost the overall performance of the answer ...
Andrew Hickl, Kirk Roberts, Bryan Rink, Jeremy Ben...
The JAVELIN system integrates a flexible, planning-based architecture with a variety of language processing modules to provide an open-domain question answering capability on fre...
Question answering research has only recently started to spread from short factoid questions to more complex ones. One significant challenge is the evaluation: manual evaluation i...
Joanna Mrozinski, Edward W. D. Whittaker, Sadaoki ...
The use of the web has become popular and also the need of services that could exploit the vast amount of information in it. Therefore, there is a need for automated question answ...
Question classification is very important for question answering. This paper presents our research work on automatic question classification through machine learning approaches. W...