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Using Wikipedia Categories and Links in Entity Ranking Using Wikipedia Categories and Links in Entity Ranking
2007
Schloss Dagstuhl, Germany. Springer
unpublished
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This paper describes the participation of the INRIA group in the INEX 2007 XML entity ranking and ad hoc tracks. We developed a system for ranking Wikipedia entities in answer to a query. ...
Our experiments on the training data set demonstrate that the use of categories and the link structure of Wikipedia, together with entity examples, can significantly improve entity retrieval effectiveness ...
Acknowledgements Part of this work was completed while James Thom was visiting INRIA in 2007. ...
fatcat:7cdn5an5q5crhgjqhnjtr2gwv4
Using Wikipedia Categories and Links in Entity Ranking
[chapter]
Lecture Notes in Computer Science
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This paper describes the participation of the INRIA group in the INEX 2007 XML entity ranking and ad hoc tracks. We developed a system for ranking Wikipedia entities in answer to a query. ...
Our experiments on both the training and the testing data sets demonstrate that the use of categories and the link structure of Wikipedia can significantly improve entity retrieval effectiveness. ...
Acknowledgements Part of this work was completed while James Thom was visiting INRIA in 2007. ...
doi:10.1007/978-3-540-85902-4_28
fatcat:sbcrcz4r3fgc5ivc5g5t2k2b2m
Entity ranking using Wikipedia as a pivot
2010
Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10
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Wikipedia allows us to properly identify entities and some of their characteristics, and Wikipedia's elaborate category structure allows us to get a handle on the entity's type. ...
Both Wikipedia's external links and the enriched Wikipedia entities with additional links to homepages are significantly better at finding primary web homepages than anchor text retrieval, which in turn ...
Acknowledgments The created Entity Ranking topics test collection is available at http://staff.science.uva.nl/~kamps/effort/data. ...
doi:10.1145/1871437.1871451
dblp:conf/cikm/KapteinSVK10
fatcat:qlvvcmy6wbbspl322ss55yep6y
Entity ranking in Wikipedia
2008
Proceedings of the 2008 ACM symposium on Applied computing - SAC '08
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Our preliminary results show that the use of categories and the link structure of Wikipedia, together with entity examples, can significantly improve retrieval effectiveness. ...
In this paper, we describe our approach to identifying and ranking entities from the INEX Wikipedia document collection. ...
link extraction and re-ranking using the Z score (SZ) • link extraction and re-ranking using the category score (SC ) • link extraction and re-ranking using the linkrank score (SL) • link extraction and ...
doi:10.1145/1363686.1363943
dblp:conf/sac/VercoustreTP08
fatcat:6bffl3a4dzb5tc5rztkysmoq3q
Entity Ranking in Wikipedia
[article]
2007
arXiv
pre-print
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Our preliminary results show that the use of categories and the link structure of Wikipedia, together with entity examples, can significantly improve retrieval effectiveness. ...
In this paper, we describe our approach to identifying and ranking entities from the INEX Wikipedia document collection. ...
link extraction and re-ranking using the Z score (SZ) • link extraction and re-ranking using the category score (SC ) • link extraction and re-ranking using the linkrank score (SL) • link extraction and ...
arXiv:0711.3128v1
fatcat:ijvh6sz5ljd3ldxgikpy2sswv4
Use of Wikipedia Categories in Entity Ranking
[article]
2007
arXiv
pre-print
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In particular, we explore how to make use of Wikipedia categories to improve entity ranking effectiveness. ...
In this paper, we present our approach for answering entity ranking queries from the Wikipedia. ...
Acknowledgements Part of this work was completed while James Thom was visiting INRIA in 2007. ...
arXiv:0711.2917v1
fatcat:t4grxc2jwzbrxk3hpm6bedamnm
Using Anchor Text, Spam Filtering and Wikipedia for Web Search and Entity Ranking
2010
Text Retrieval Conference
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For the Entity Ranking Track, we use Wikipedia as a pivot to find relevant entities on the Web. Using category information to retrieve entities within Wikipedia leads to large improvements. ...
In this paper, we document our efforts in participating to the TREC 2010 Entity Ranking and Web Tracks. ...
When external links are used to find homepages, all Wikipedia results without external links to a page in the ClueWeb Category B collection are excluded from the ranking. ...
dblp:conf/trec/KampsKK10
fatcat:l3viyc7chbexvaggt4y3kqrcay
Exploiting the category structure of Wikipedia for entity ranking
2013
Artificial Intelligence
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First, we examine whether Wikipedia category and link structure can be used to retrieve entities inside Wikipedia as is the goal of the INEX (Initiative for the Evaluation of XML retrieval) Entity Ranking ...
We conclude that the category information in Wikipedia is a useful source of information that can be used for entity ranking as well as other retrieval tasks. ...
Acknowledgements We thank the reviewers for the constructive comments that helped to shape this paper, and express our gratitude to the editors of the special issue for applying the deadlines with consideration ...
doi:10.1016/j.artint.2012.06.003
fatcat:yqfd4nb4nbfwfnclpwlqymyrz4
Result Diversity and Entity Ranking Experiments: Anchors, Links, Text and Wikipedia
2009
Text Retrieval Conference
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Although the links between the Wikipedia entities and pages in the Clueweb collection are sparse, the precision of the existing links is very high. ...
In this paper, we document our efforts in participating to the TREC 2009 Entity Ranking and Web Tracks. ...
Acknowledgments This research was supported by the Netherlands Organization for Scientific Research (NWO, grant # 612.066.513, 639.072.601, and 640.001.501). ...
dblp:conf/trec/KapteinKK09
fatcat:viwwrzxdujfh5cznzq5vqrw6de
Focused Search in Books and Wikipedia: Categories, Links and Relevance Feedback
[chapter]
2010
Lecture Notes in Computer Science
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We explore how we can use both types of category information, in the Ad Hoc Track as well as in the Entity Ranking Track. ...
In this paper we describe our participation in INEX 2009 in the Ad Hoc Track, the Book Track, and the Entity Ranking Track. ...
Indexing the Wikipedia Collection In this section we describe the index that is used for our runs in the ad hoc and the entity ranking track, as well as the category structure of the collection. ...
doi:10.1007/978-3-642-14556-8_28
fatcat:jjnb534ljzh5xnpi22rct53mti
Delft University at the TREC 2009 Entity Track: Ranking Wikipedia Entities
2009
Text Retrieval Conference
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This paper describes the details of our participation in Entity track of the TREC 2009. ...
Using Wikipedia to find named entities There are several ways to deal with Wikipedia corpus in order to find relevant named entities: simply rank Wikipedia pages, rank Wikipedia pages whose names appear ...
Another recently proposed approach uses the link structure of candidate Wikipedia entities to first group them into clusters and then rank these clusters by the overall importance of their entities, measured ...
dblp:conf/trec/SerdyukovV09
fatcat:mbkxhsgsyrdk3o46xx6khkv22i
Using Wikipedia's Category Structure for Entity Search
2013
Dutch-Belgian Workshop on Information Retrieval
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In this paper we investigate how the category structure of Wikipedia can be exploited for Entity Ranking. ...
Our results demonstrate the benefits of using topical and link structure over the use of shallow statistics. This paper is a compressed version of [1] . ...
Our first research question is: How can we exploit category and link information for entity ranking in Wikipedia? ...
dblp:conf/dir/KapteinK13
fatcat:yzkksuez4retho73mnnyf4kwra
ReFER: Effective Relevance Feedback for Entity Ranking
[chapter]
2011
Lecture Notes in Computer Science
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It employs the Wikipedia category structure, but augments that structure with 'smooth categories' to deal with the sparseness of the raw category information. ...
This paper presents an entity ranking relevance feedback model, based on example entities specified by the user or on pseudo feedback. ...
We conclude that the proposed approach can be easily applied to any ER system in order to improve search effectiveness, and that the model performs well on the test collection we used. ...
doi:10.1007/978-3-642-20161-5_26
fatcat:zy3gshhtx5hkzif4y4ivbeivni
The Links Have It: Infobox Generation by Summarization over Linked Entities
[article]
2014
arXiv
pre-print
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In this paper, instead of performing information extraction over unstructured natural language text directly, we focus on a rich set of semi-structured data in Wikipedia articles: linked entities. ...
The idea of this paper is the following: If we can summarize the relationship between the entity and its linked entities, we immediately harvest some of the most important information about the entity. ...
And different from above structural knowledge extraction methods, we use the structured information(linked entities, and categories) only in Wikipedia to extract knowledge(infobox). ...
arXiv:1406.6449v1
fatcat:rxetvzhyqvf6dhyhts2imnuefq
Recognizing Descriptive Wikipedia Categories for Historical Figures
[article]
2017
arXiv
pre-print
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Wikipedia pages are assigned different categories according to their contents as human-annotated labels which can be used in information retrieval, ad hoc search improvements, entity ranking and tag recommendations ...
Wikipedia is a useful knowledge source that benefits many applications in language processing and knowledge representation. An important feature of Wikipedia is that of categories. ...
Wikipedia pages are assigned different categories according to their contents as human-annotated labels which can be used in information retrieval, ad hoc search improvements, entity ranking and tag recommendations ...
arXiv:1704.07427v1
fatcat:bjthqq527ncgji6bduji6wrlli
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