Many open domain question answering systems answer questions by first harvesting a large number of candidate answers, and then picking the most promising one from the list. One c...
Stefan Schlobach, David Ahn, Maarten de Rijke, Val...
Motivated by the success of ensemble methods in machine learning and other areas of natural language processing, we developed a multistrategy and multi-source approach to question...
Jennifer Chu-Carroll, Krzysztof Czuba, John M. Pra...
People when asked a number of questions about a particular topic begin to become knowledgeable about the topic as they look for and find answers to the questions. A question answe...
Marc Light, Abraham Ittycheriah, Andrew Latto, Nan...
We present a Korean question answering framework for restricted domains, called K-QARD. K-QARD is developed to achieve domain portability and robustness, and the framework is succ...
AnswerBus News Engine1 is a question answering system using the contents of CNN Web site2 as its knowledge base. Comparing to other question answering systems including its previo...