Community Question Answering has emerged as a popular and effective paradigm for a wide range of information needs. For example, to find out an obscure piece of trivia, it is now ...
While traditional information extraction systems have been built to answer questions about facts, subjective information extraction systems will answer questions about feelings an...
Most question-answering systems contain a classifier module which determines a question category, based on which each question is assigned an answer type. However, setting up synt...
Danica Damljanovic, Milan Agatonovic, Hamish Cunni...
PiQASso is a Question Answering system based on a combination of modern IR techniques and a series of semantic filters for selecting paragraphs containing a justifiable answer. Se...
Giuseppe Attardi, Antonio Cisternino, Francesco Fo...
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...