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.
|Journal||CEUR Workshop Proceedings|
|Publication status||Published - 1 Jan 2007|
|Event||2007 Cross Language Evaluation Forum Workshop, CLEF 2007, co-located with the 11th European Conference on Digital Libraries, ECDL 2007 - Budapest, Hungary|
Duration: 19 Sep 2007 → 21 Sep 2007
- Query expansion.
- Question answering