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Using Wikipedia Categories and Links in Entity Ranking Using Wikipedia Categories and Links in Entity Ranking

Anne-Marie Vercoustre, Jovan Pehcevski, James Thom, Norbert Fuhr, Jaap Kamps, Mounia Lalmas, Saadia Malik, Andrew, Anne-Marie Vercoustre, Jovan Pehcevski, James Thom
2007 Schloss Dagstuhl, Germany. Springer   unpublished
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]

Anne-Marie Vercoustre, Jovan Pehcevski, James A. Thom
Lecture Notes in Computer Science  
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

Rianne Kaptein, Pavel Serdyukov, Arjen De Vries, Jaap Kamps
2010 Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10  
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

Anne-Marie Vercoustre, James A. Thom, Jovan Pehcevski
2008 Proceedings of the 2008 ACM symposium on Applied computing - SAC '08  
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]

Anne-Marie Vercoustre , James A. Thom, Jovan Pehcevski (INRIA Rocquencourt / INRIA Sophia Antipolis)
2007 arXiv   pre-print
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]

James A. Thom, Jovan Pehcevski (INRIA Rocquencourt / INRIA Sophia Antipolis), Anne-Marie Vercoustre (INRIA Rocquencourt / INRIA Sophia Antipolis)
2007 arXiv   pre-print
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

Jaap Kamps, Rianne Kaptein, Marijn Koolen
2010 Text Retrieval Conference  
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

Rianne Kaptein, Jaap Kamps
2013 Artificial Intelligence  
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

Rianne Kaptein, Marijn Koolen, Jaap Kamps
2009 Text Retrieval Conference  
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]

Marijn Koolen, Rianne Kaptein, Jaap Kamps
2010 Lecture Notes in Computer Science  
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

Pavel Serdyukov, Arjen P. de Vries
2009 Text Retrieval Conference  
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

Rianne Kaptein, Jaap Kamps
2013 Dutch-Belgian Workshop on Information Retrieval  
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]

Tereza Iofciu, Gianluca Demartini, Nick Craswell, Arjen P. de Vries
2011 Lecture Notes in Computer Science  
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]

Kezun Zhang and Yanghua Xiao and Hanghang Tong and Haixun Wang and Wei Wang
2014 arXiv   pre-print
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]

Yanqing Chen, Steven Skiena
2017 arXiv   pre-print
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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