Intelligent answering location questions from the web using molecular alignment
Journal of Intelligent Information Systems, ISSN: 0925-9902, Vol: 35, Issue: 1, Page: 75-90
2010
- 1Citations
- 5Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
In this paper, a new molecular alignment based recognition method for question answering from from the Web is proposed. This identifies locations using an molecular alignment sequence algorithm according to their similarity with a user natural-language question. Different experiments and results concerning questions on locations are discussed. The high accuracy of the proposed alignment strategy shows the promise of approach to effectively deal with questions extracted from natural-language corpus which contain many complex patterns. © 2009 Springer Science+Business Media, LLC.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=77954349290&origin=inward; http://dx.doi.org/10.1007/s10844-009-0089-4; http://link.springer.com/10.1007/s10844-009-0089-4; https://dx.doi.org/10.1007/s10844-009-0089-4; https://link.springer.com/article/10.1007/s10844-009-0089-4; http://www.springerlink.com/index/10.1007/s10844-009-0089-4; http://www.springerlink.com/index/pdf/10.1007/s10844-009-0089-4
Springer Science and Business Media LLC
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