In this paper we describe our experiments in finding answers from documents based on statistical and linguistic knowledge. We collected the candidate answers from sources available on the internet, and then we used them to validate the answers found in the documents. The candidate answers from the documents were found using a statistical technique and linguistic knowledge such as named entity tags to find the type of answer that matches the question category.
['Mirna Adriani', 'Septian Adiwibowo']
Finding Answers Using Resources in the Internet