Medical Condition : Towards Entity-specific Rankings of Knowledge Base Properties [ Extended Version ] ?
暂无分享,去创建一个
Werner Nutt | Simon Razniewski | Vevake Balaraman | W. Nutt | Vevake Balaraman | Simon Razniewski | Vevake Baralaman
[1] Nicolas de Condorcet. Essai Sur L'Application de L'Analyse a la Probabilite Des Decisions Rendues a la Pluralite Des Voix , 2009 .
[2] Felix Naumann,et al. Improving RDF Data Through Association Rule Mining , 2013, Datenbank-Spektrum.
[3] Francesco Ricci,et al. Pairwise Preferences Based Matrix Factorization and Nearest Neighbor Recommendation Techniques , 2016, RecSys.
[4] Andrea Dessi,et al. A machine-learning approach to ranking RDF properties , 2016, Future Gener. Comput. Syst..
[5] Gjergji Kasneci,et al. Assigning global relevance scores to DBpedia facts , 2014, 2014 IEEE 30th International Conference on Data Engineering Workshops.
[6] Susan T. Dumais,et al. Improving information retrieval using latent semantic indexing , 1988 .
[7] Gerhard Weikum,et al. WWW 2007 / Track: Semantic Web Session: Ontologies ABSTRACT YAGO: A Core of Semantic Knowledge , 2022 .
[8] David Maxwell Chickering,et al. Here or there: preference judgments for relevance , 2008 .
[9] Tomasz Imielinski,et al. Mining association rules between sets of items in large databases , 1993, SIGMOD Conference.
[10] Armelle Brun,et al. Comparisons Instead of Ratings: Towards More Stable Preferences , 2011, 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology.
[11] Markus Krötzsch,et al. Wikidata , 2014, Commun. ACM.
[12] Kenza Kellou-Menouer,et al. Schema Discovery in RDF Data Sources , 2015, ER.
[13] Seung-won Hwang,et al. Attribute extraction and scoring: A probabilistic approach , 2013, 2013 IEEE 29th International Conference on Data Engineering (ICDE).
[14] Eva Zangerle,et al. An Empirical Evaluation of Property Recommender Systems for Wikidata and Collaborative Knowledge Bases , 2016, OpenSym.
[15] Qiang Yang,et al. A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[16] Jens Lehmann,et al. DBpedia: A Nucleus for a Web of Open Data , 2007, ISWC/ASWC.
[17] Abhay Prakash,et al. Did You Know? - Mining Interesting Trivia for Entities from Wikipedia , 2015, IJCAI.
[18] Carlo Zaniolo,et al. IBminer: A Text Mining Tool for Constructing and Populating InfoBox Databases and Knowledge Bases , 2013, Proc. VLDB Endow..
[19] Eva Zangerle,et al. Guided curation of semistructured data in collaboratively-built knowledge bases , 2014, Future Gener. Comput. Syst..
[20] Manoj Kumar Chinnakotla,et al. The Unusual Suspects: Deep Learning Based Mining of Interesting Entity Trivia from Knowledge Graphs , 2017, AAAI.
[21] Michael Gamon,et al. Predicting Interesting Things in Text , 2014, COLING.
[22] Hang Li,et al. A Short Introduction to Learning to Rank , 2011, IEICE Trans. Inf. Syst..
[23] David Maxwell Chickering,et al. Here or There , 2008, ECIR.
[24] Werner Nutt,et al. But What Do We Actually Know? , 2016, AKBC@NAACL-HLT.
[25] Raphaël Troncy,et al. What Are the Important Properties of an Entity? - Comparing Users and Knowledge Graph Point of View , 2014, ESWC.
[26] Stefan Heindorf,et al. WSDM Cup 2017: Vandalism Detection and Triple Scoring , 2017, WSDM.
[27] Simon Razniewski,et al. Assessing the Completeness of Entities in Knowledge Bases , 2017, ESWC.
[28] Tie-Yan Liu,et al. Learning to rank: from pairwise approach to listwise approach , 2007, ICML '07.
[29] David M. Blei,et al. Probabilistic topic models , 2012, Commun. ACM.
[30] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[31] Hannah Bast,et al. Relevance Scores for Triples from Type-Like Relations , 2015, SIGIR.