@inproceedings{d44109520f1f496bbff5f2b2e273f660,
title = "Molecular sequence alignment for extracting answers for where-typed questions from google snippets",
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.",
keywords = "Internet applications, Natural-language processing, Question answering, Semantic similarity",
author = "Alejandro Figueroa and John Atkinson",
year = "2006",
doi = "10.1007/11892960_143",
language = "English",
isbn = "3540465359",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "1190--1197",
booktitle = "Knowledge-Based Intelligent Information and Engineering Systems - 10th International Conference, KES 2006, Proceedings",
note = "10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006 ; Conference date: 09-10-2006 Through 11-10-2006",
}