Molecular sequence alignment for extracting answers for where-typed questions from google snippets

Authors:
Alejandro Figueroa;John Atkinson
Affiliations:
Deutsches Forschungszentrum für Künstliche Intelligenz – DFKI, Saarbrücken, Germany;Departamento de Ingeniería Informática, Universidad de Concepción, Concepción, Chile
Venue:
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Year:
2006

Citing 2
Cited 0

Unsupervised question answering data acquisition from local corpora

Proceedings of the thirteenth ACM international conference on Information and knowledge management
Question answering as question-biased term extraction: a new approach toward multilingual QA

ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics

Quantified Score

Hi-index	0.00

Visualization

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.