Abstract
This work presents a strategy to answer questions about locations based on a character alignment algorithm that ranks Google snippets according to their similarity with the query. Answer candidates are extracted by using a Name-Entity Recognizer and then ranked according to their position in this new rank. Results concerning questions on location of monuments and cities around the world are discussed.
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© 2006 Springer-Verlag Berlin Heidelberg
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Figueroa, A., Atkinson, J. (2006). Molecular Sequence Alignment for Extracting Answers for Where-Typed Questions from Google Snippets. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11892960_143
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DOI: https://doi.org/10.1007/11892960_143
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46535-5
Online ISBN: 978-3-540-46536-2
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