We describe the structure and functioning of an answer-extraction system built from the ground up, in only three person-months, using shallow text-processing techniques. Underlyin...
Question classification is very important for question answering. This paper presents our research work on automatic question classification through machine learning approaches. W...
Our aim of participating in this year’s High Accuracy Retrieval from Documents (HARD) track is to explore the possibility of developing an automated HARD retrieval model by leve...
Early TREC-style Question Answering Systems were characterized by the following features: (a) the answer of the question was known to be included in a given local corpus, (b) the ...
One of the major problems in question answering (QA) is that the queries are either too brief or often do not contain most relevant terms in the target corpus. In order to overcom...