Finding out about: a cognitive perspective on search engine technology and the WWW
Finding out about: a cognitive perspective on search engine technology and the WWW
Exploiting redundancy in question answering
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
On the MSE robustness of batching estimators
Proceedings of the 33nd conference on Winter simulation
Is question answering an acquired skill?
Proceedings of the 13th international conference on World Wide Web
QA on the Web: A Preliminary Study for Spanish Language
ENC '04 Proceedings of the Fifth Mexican International Conference in Computer Science
Mining natural language answers from the web
Web Intelligence and Agent Systems
Learning surface text patterns for a Question Answering system
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Automatic derivation of surface text patterns for a maximum entropy based question answering system
NAACL-Short '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume of the Proceedings of HLT-NAACL 2003--short papers - Volume 2
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
Genetic algorithms for data-driven web question answering
Evolutionary Computation
Mining web snippets to answer list questions
AIDM '07 Proceedings of the 2nd international workshop on Integrating artificial intelligence and data mining - Volume 84
Intelligent answering location questions from the web using molecular alignment
Journal of Intelligent Information Systems
A mobile touchable application for online topic graph extraction and exploration of web content
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: Systems Demonstrations
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This work presents a strategy that aims to extract and rank predicted answers from the web based on the eigenvalues of a specially designed matrix. This matrix models the strength of the syntactic relations between words by means of the frequency of their relative positions in sentences extracted from web snippets. We assess the rank of predicted answers by extracting answer candidates for three different kinds of questions. Due to the low dependence upon a particular language, we also apply our strategy to questions from four different languages: English, German, Spanish, and Portuguese.