Difference between revisions of "Wikipedia Article Content based Query Expansion in Ir4Qa System"
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| − | '''Wikipedia Article Content based Query Expansion in Ir4Qa System''' - scientific work related to Wikipedia quality published in 2010, written by Maofu Liu, Bin Zhou, Liwen Qi and Zilou Zhang. | + | '''Wikipedia Article Content based Query Expansion in Ir4Qa System''' - scientific work related to [[Wikipedia quality]] published in 2010, written by [[Maofu Liu]], [[Bin Zhou]], [[Liwen Qi]] and [[Zilou Zhang]]. |
== Overview == | == Overview == | ||
| − | This paper describes the work of WUST group in NTCIR-8 on the subtask of English to Simplified Chinese and Simplified Chinese to Simplified Chinese information retrieval for question answering (EN-CS and CS-CS IR4QA). In order to enhance the precision and efficiency in question analysis, authors employ a special question analysis method extracting more appropriate key terms and apply the query expansion technique gaining more relevant key terms based on Wikipedia article content related to the query. | + | This paper describes the work of WUST group in NTCIR-8 on the subtask of English to Simplified Chinese and Simplified Chinese to Simplified Chinese [[information retrieval]] for [[question answering]] (EN-CS and CS-CS IR4QA). In order to enhance the precision and efficiency in question analysis, authors employ a special question analysis method extracting more appropriate key terms and apply the query expansion technique gaining more relevant key terms based on [[Wikipedia]] article content related to the query. |
Revision as of 09:29, 6 June 2020
Wikipedia Article Content based Query Expansion in Ir4Qa System - scientific work related to Wikipedia quality published in 2010, written by Maofu Liu, Bin Zhou, Liwen Qi and Zilou Zhang.
Overview
This paper describes the work of WUST group in NTCIR-8 on the subtask of English to Simplified Chinese and Simplified Chinese to Simplified Chinese information retrieval for question answering (EN-CS and CS-CS IR4QA). In order to enhance the precision and efficiency in question analysis, authors employ a special question analysis method extracting more appropriate key terms and apply the query expansion technique gaining more relevant key terms based on Wikipedia article content related to the query.
