Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Clarke, C.L.A., Cormack, G.G., Kisman, D.I.E., Lynam, K.: Question Answering by Passage Selection: The 9th Text retrieval Conference (TREC-9) (2000)
Hull, D.: Xerox TREC-8 Question Answering Track Report: The 8th Text Retrieval Conference (TREC-8) (1999)
Hildebrandt, W., Katz, B., Lin, J.: Answering definition questions with multiple knowledge sources. In: Proceedings of the 2004 Human Language Technology Conference and the North American Chapter of the Association for Computational Linguistics Annnual Meeting (HLT/NAACL 2004) (2004)
Hovy, E., Hermjakob, U., Lin, C.Y.: The use of external knowledge in factoid QA. In: Proceedings of the Tenth Text REtrieval Conference (TREC 2001), pp. 644–652 (2001)
Alwi, H., et al.: Indonesian Grammar. Center of Bahasa Indonesia, Jakarta (1998)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Adriani, M., Adiwibowo, S. (2008). Finding Answers Using Resources in the Internet. In: Peters, C., et al. Advances in Multilingual and Multimodal Information Retrieval. CLEF 2007. Lecture Notes in Computer Science, vol 5152. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85760-0_41
Download citation
DOI: https://doi.org/10.1007/978-3-540-85760-0_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85759-4
Online ISBN: 978-3-540-85760-0
eBook Packages: Computer ScienceComputer Science (R0)