Difference between revisions of "Entity-Based Query Reformulation Using Wikipedia"
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== Overview == | == Overview == | ||
Many real world applications increasingly involve both structured data and text, and entity based retrieval is an important problem in this realm. In this paper, authors present an automatic query reformulation approach based on entities detected in each query. The aim is to utilize semantics associated with entities for enhancing document retrieval. This is done by expanding a query with terms/phrases related to entities in the query. Authors exploit [[Wikipedia]] as a large repository of entity information. Authors reformulated approach consists of three major steps : (1) detect representative entity in a query; (2) expand the query with entity related terms/phrases; and (3) facilitate term dependency [[features]]. Authors evaluate approach in ad-hoc retrieval task on four TREC collections, including two large web collections. Experiments results show that significant improvement is possible by utilizing entity corresponding information. | Many real world applications increasingly involve both structured data and text, and entity based retrieval is an important problem in this realm. In this paper, authors present an automatic query reformulation approach based on entities detected in each query. The aim is to utilize semantics associated with entities for enhancing document retrieval. This is done by expanding a query with terms/phrases related to entities in the query. Authors exploit [[Wikipedia]] as a large repository of entity information. Authors reformulated approach consists of three major steps : (1) detect representative entity in a query; (2) expand the query with entity related terms/phrases; and (3) facilitate term dependency [[features]]. Authors evaluate approach in ad-hoc retrieval task on four TREC collections, including two large web collections. Experiments results show that significant improvement is possible by utilizing entity corresponding information. | ||
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+ | == Embed == | ||
+ | === Wikipedia Quality === | ||
+ | <code> | ||
+ | <nowiki> | ||
+ | Xu, Yang; Ding, Fan; Wang, Bin. (2008). "[[Entity-Based Query Reformulation Using Wikipedia]]".DOI: 10.1145/1458082.1458322. | ||
+ | </nowiki> | ||
+ | </code> | ||
+ | |||
+ | === English Wikipedia === | ||
+ | <code> | ||
+ | <nowiki> | ||
+ | {{cite journal |last1=Xu |first1=Yang |last2=Ding |first2=Fan |last3=Wang |first3=Bin |title=Entity-Based Query Reformulation Using Wikipedia |date=2008 |doi=10.1145/1458082.1458322 |url=https://wikipediaquality.com/wiki/Entity-Based_Query_Reformulation_Using_Wikipedia}} | ||
+ | </nowiki> | ||
+ | </code> | ||
+ | |||
+ | === HTML === | ||
+ | <code> | ||
+ | <nowiki> | ||
+ | Xu, Yang; Ding, Fan; Wang, Bin. (2008). &quot;<a href="https://wikipediaquality.com/wiki/Entity-Based_Query_Reformulation_Using_Wikipedia">Entity-Based Query Reformulation Using Wikipedia</a>&quot;.DOI: 10.1145/1458082.1458322. | ||
+ | </nowiki> | ||
+ | </code> |
Revision as of 06:53, 21 September 2020
Authors | Yang Xu Fan Ding Bin Wang |
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Publication date | 2008 |
DOI | 10.1145/1458082.1458322 |
Links | Original |
Entity-Based Query Reformulation Using Wikipedia - scientific work related to Wikipedia quality published in 2008, written by Yang Xu, Fan Ding and Bin Wang.
Overview
Many real world applications increasingly involve both structured data and text, and entity based retrieval is an important problem in this realm. In this paper, authors present an automatic query reformulation approach based on entities detected in each query. The aim is to utilize semantics associated with entities for enhancing document retrieval. This is done by expanding a query with terms/phrases related to entities in the query. Authors exploit Wikipedia as a large repository of entity information. Authors reformulated approach consists of three major steps : (1) detect representative entity in a query; (2) expand the query with entity related terms/phrases; and (3) facilitate term dependency features. Authors evaluate approach in ad-hoc retrieval task on four TREC collections, including two large web collections. Experiments results show that significant improvement is possible by utilizing entity corresponding information.
Embed
Wikipedia Quality
Xu, Yang; Ding, Fan; Wang, Bin. (2008). "[[Entity-Based Query Reformulation Using Wikipedia]]".DOI: 10.1145/1458082.1458322.
English Wikipedia
{{cite journal |last1=Xu |first1=Yang |last2=Ding |first2=Fan |last3=Wang |first3=Bin |title=Entity-Based Query Reformulation Using Wikipedia |date=2008 |doi=10.1145/1458082.1458322 |url=https://wikipediaquality.com/wiki/Entity-Based_Query_Reformulation_Using_Wikipedia}}
HTML
Xu, Yang; Ding, Fan; Wang, Bin. (2008). "<a href="https://wikipediaquality.com/wiki/Entity-Based_Query_Reformulation_Using_Wikipedia">Entity-Based Query Reformulation Using Wikipedia</a>".DOI: 10.1145/1458082.1458322.