Question Answering - Question Answering Methods

Question Answering Methods

QA is very dependent on a good search corpus - for without documents containing the answer, there is little any QA system can do. It thus makes sense that larger collection sizes generally lend well to better QA performance, unless the question domain is orthogonal to the collection. The notion of data redundancy in massive collections, such as the web, means that nuggets of information are likely to be phrased in many different ways in differing contexts and documents, leading to two benefits:

1. By having the right information appear in many forms, the burden on the QA system to perform complex NLP techniques to understand the text is lessened.
2. Correct answers can be filtered from false positives by relying on the correct answer to appear more times in the documents than instances of incorrect ones.