Difference between revisions of "Mining Wikipedia for Discovering Multilingual Definitions on the Web"
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| − | '''Mining Wikipedia for Discovering Multilingual Definitions on the Web''' - scientific work related to Wikipedia quality published in 2008, written by Alejandro Figueroa. | + | '''Mining Wikipedia for Discovering Multilingual Definitions on the Web''' - scientific work related to [[Wikipedia quality]] published in 2008, written by [[Alejandro Figueroa]]. |
== Overview == | == Overview == | ||
| − | Ml-DfWebQA is a multilingual definition question answering system (QAS) that extracts answers to definition queries from the short descriptions of web-sites returned by search engines, called web snippets. These answers are discriminated on the ground of lexico-syntactic regularities mined from multilingual resources supplied by wikipedia. Results support that these regularities serve to significantly strengthen the answering process. In addition, Ml-DfWebQA increases the robustness of multilingual definition QASs by making use of aliases found in wikipedia. | + | Ml-DfWebQA is a [[multilingual]] definition [[question answering]] system (QAS) that extracts answers to definition queries from the short descriptions of web-sites returned by search engines, called web snippets. These answers are discriminated on the ground of lexico-syntactic regularities mined from multilingual resources supplied by wikipedia. Results support that these regularities serve to significantly strengthen the answering process. In addition, Ml-DfWebQA increases the robustness of multilingual definition QASs by making use of aliases found in wikipedia. |
Revision as of 00:32, 26 December 2020
Mining Wikipedia for Discovering Multilingual Definitions on the Web - scientific work related to Wikipedia quality published in 2008, written by Alejandro Figueroa.
Overview
Ml-DfWebQA is a multilingual definition question answering system (QAS) that extracts answers to definition queries from the short descriptions of web-sites returned by search engines, called web snippets. These answers are discriminated on the ground of lexico-syntactic regularities mined from multilingual resources supplied by wikipedia. Results support that these regularities serve to significantly strengthen the answering process. In addition, Ml-DfWebQA increases the robustness of multilingual definition QASs by making use of aliases found in wikipedia.
