Molecular Sequence Alignment for Extracting Answers for Where-Typed Questions from Google Snippets Export

@incollection{citeulike:2409742, 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: Natural-Language Processing, Question Answering, Semantic Similarity, Internet Applications.}, author = {Figueroa, Alejandro and Atkinson, John}, citeulike-article-id = {2409742}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/11892960_143}, doi = {10.1007/11892960_143}, journal = {Knowledge-Based Intelligent Information and Engineering Systems}, keywords = {google, ie}, pages = {1190--1197}, posted-at = {2008-02-22 00:20:38}, priority = {2}, title = {Molecular Sequence Alignment for Extracting Answers for Where-Typed Questions from Google Snippets}, url = {http://dx.doi.org/10.1007/11892960_143}, year = {2006} }

TY - CHAP ID - citeulike:2409742 L3 - citeulike-article-id:2409742 N2 - 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: Natural-Language Processing, Question Answering, Semantic Similarity, Internet Applications. JF - Knowledge-Based Intelligent Information and Engineering Systems EP - 1197 TI - Molecular Sequence Alignment for Extracting Answers for Where-Typed Questions from Google Snippets SP - 1190 KW - google KW - ie AU - Figueroa, Alejandro AU - Atkinson, John PY - 2006/// UR - http://dx.doi.org/10.1007/11892960_143 ER -