skip to main content
10.1145/3077136.3080810acmconferencesArticle/Chapter ViewAbstractPublication PagesirConference Proceedingsconference-collections
research-article

Dynamic Factual Summaries for Entity Cards

Published:07 August 2017Publication History

ABSTRACT

Entity cards are being used frequently in modern web search engines to offer a concise overview of an entity directly on the results page. These cards are composed of various elements, one of them being the entity summary: a selection of facts describing the entity from an underlying knowledge base. These summaries, while presenting a synopsis of the entity, can also directly address users' information needs. In this paper, we make the first effort towards generating and evaluating such factual summaries. We introduce and address the novel problem of dynamic entity summarization for entity cards, and break it down to two specific subtasks: fact ranking and summary generation. We perform an extensive evaluation of our method using crowdsourcing. Our results show the effectiveness of our fact ranking approach and validate that users prefer dynamic summaries over static ones.

References

  1. Krisztian Balog, Leif Azzopardi, and Maarten de Rijke. 2009. A Language Modeling Framework for Expert Finding. Inf. Process. Manage. 45, 1 (2009), 1--19. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Krisztian Balog and Robert Neumayer. 2013. A Test Collection for Entity Search in DBpedia. Proc. of SIGIR '13. 737--740. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Krisztian Balog, Pavel Serdyukov, Arjen De Vries, Paul Thomas, and Thijs Westerveld. 2010. Overview of the TREC 2009 Entity Track. In Proc. of TREC '09.Google ScholarGoogle Scholar
  4. Roi Blanco, Berkant Barla Cambazoglu, Peter Mika, and Nicolas Torzec. 2013. Entity Recommendations in Web Search. In Proc. of ISWC '13. 33--48. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Roi Blanco, Harry Halpin, Daniel M. Herzig, Peter Mika, Shady Elbassuoni, Henry S. Thompson, and Than Tran Duc. 2011. Entity Search Evaluation over Structured Web Data. Proc. of the Intl. Workshop on Entity-Oriented Search.Google ScholarGoogle Scholar
  6. Horatiu Bota, Ke Zhou, and Joemon M. Jose 2016. Playing Your Cards Right: The Effect of Entity Cards on Search Behaviour and Workload Proc. of CHIIR '16. 131--140.Google ScholarGoogle Scholar
  7. Liora Braunstain, Oren Kurland, David Carmel, Idan Szpektor, and Anna Shtok. 2016. Supporting Human Answers for Advice-Seeking Questions in CQA Sites Proc. of ECIR '16. 129--141.Google ScholarGoogle Scholar
  8. Jing Chen, Chenyan Xiong, and Jamie Callan. 2016. An Empirical Study of Learning to Rank for Entity Search Proc. of SIGIR '16. 737--740.Google ScholarGoogle Scholar
  9. Gong Cheng, Thanh Tran, and Yuzhong Qu. 2011. RELIN: Relatedness and Informativeness-based Centrality for Entity Summarization Proc. of ISWC '11. 114--129.Google ScholarGoogle Scholar
  10. Kevyn Collins-Thompson. 2009. Reducing the Risk of Query Expansion via Robust Constrained Optimization Proc. of CIKM '09. 837--846.Google ScholarGoogle Scholar
  11. Jeffrey Dalton, Laura Dietz, and James Allan. 2014. Entity Query Feature Expansion Using Knowledge Base Links Proc. of SIGIR '14. 365--374.Google ScholarGoogle Scholar
  12. Gianluca Demartini, Tereza Iofciu, and Arjen P. de Vries. 2010. Overview of the INEX 2009 Entity Ranking Track. INEX. 254--264.Google ScholarGoogle Scholar
  13. Andrea Dessi and Maurizio Atzori. 2016. A Machine-learning Approach to Ranking RDF Properties. Future Gener. Comput. Syst. Vol. 54 (2016), 366--377. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Faezeh Ensan and Ebrahim Bagheri. 2017. Document Retrieval Model Through Semantic Linking. Proc. of WSDM '17. 181--190. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Paolo Ferragina and Ugo Scaiella. 2010. TAGME: On-the-fly Annotation of Short Text Fragments (by Wikipedia Entities) Proc. of CIKM '10. 1625--1628. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Jerome H. Friedman. 2001. Greedy Function Approximation: A Gradient Boosting Machine. Ann. Statist. Vol. 29 (2001), 1189--1232. Google ScholarGoogle ScholarCross RefCross Ref
  17. Dario Garigliotti, Faegheh Hasibi, and Krisztian Balog. 2017. Target Type Identification for Entity-Bearing Queries Proc. of SIGIR '17.Google ScholarGoogle Scholar
  18. Kalpa Gunaratna, Krishnaprasad Thirunarayan, Amit Sheth, and Gong Cheng. 2016. Gleaning Types for Literals in RDF Triples with Application to Entity Summarization Proc. of ESWC '16. 85--100.Google ScholarGoogle Scholar
  19. Kalpa Gunaratna, Krishnaprasad Thirunarayan, and Amit P. Sheth. 2015. FACES: Diversity-Aware Entity Summarization Using Incremental Hierarchical Conceptual Clustering Proc. of AAAI '15. 116--122.Google ScholarGoogle Scholar
  20. Harry Halpin, Daniel M. Herzig, Peter Mika, Roi Blanco, Jeffrey Pound, Henry S. Thompson, and Duc Thanh Tran. 2010. Evaluating Ad-hoc Object Retrieval. In Proc. of the Intl. Workshop on Evaluation of Semantic Technologies.Google ScholarGoogle Scholar
  21. Faegheh Hasibi, Krisztian Balog, and Svein Erik Bratsberg. 2015. Entity Linking in Queries: Tasks and Evaluation. Proc. of ICTIR '15. 171--180. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Faegheh Hasibi, Krisztian Balog, and Svein Erik Bratsberg. 2016. Exploiting Entity Linking in Queries for Entity Retrieval Proc. of ICTIR '16. 171--180.Google ScholarGoogle Scholar
  23. Faegheh Hasibi, Krisztian Balog, and Svein Erik Bratsberg. 2016. On the Reproducibility of the TAGME Entity Linking System Proc. of ECIR '16. 436--449.Google ScholarGoogle Scholar
  24. Faegheh Hasibi, Krisztian Balog, and Svein Erik Bratsberg. 2017. Entity Linking in Queries: Efficiency vs. Effectiveness Proc. of ECIR '17. 40--53.Google ScholarGoogle Scholar
  25. Dmitry Lagun, Chih-Hung Hsieh, Dale Webster, and Vidhya Navalpakkam. 2014. Towards Better Measurement of Attention and Satisfaction in Mobile Search Proc. of SIGIR '14. 113--122.Google ScholarGoogle Scholar
  26. Vanessa Lopez, Christina Unger, Philipp Cimiano, and Enrico Motta. 2013. Evaluating Question Answering over Linked Data. Web Semantics Vol. 21 (2013), 3--13. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Chunliang Lu, Wai Lam, and Yi Liao. 2015. Entity Retrieval via Entity Factoid Hierarchy. In Proc. of ACL '15. 514--523. Google ScholarGoogle ScholarCross RefCross Ref
  28. Edgar Meij, Wouter Weerkamp, and Maarten De Rijke. 2012. Adding Semantics to Microblog Posts. In Proc. of WSDM '12. 563. Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S. Corrado, and Jeff Dean. 2013. Distributed Representations of Words and Phrases and Their Compositionality Proc. of NIPS '13. 3111--3119.Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. Vidhya Navalpakkam, LaDawn Jentzsch, Rory Sayres, Sujith Ravi, Amr Ahmed, and Alex Smola. 2013. Measurement and Modeling of Eye-mouse Behavior in the Presence of Nonlinear Page Layouts Proc. of WWW '13. 953--964.Google ScholarGoogle Scholar
  31. Fedor Nikolaev, Alexander Kotov, and Nikita Zhiltsov. 2016. Parameterized Fielded Term Dependence Models for Ad-hoc Entity Retrieval from Knowledge Graph Proc. of SIGIR '16. 435--444.Google ScholarGoogle Scholar
  32. Jeffrey Pound, Peter Mika, and Hugo Zaragoza. 2010. Ad-hoc Object Retrieval in the Web of Data. In Proc. of WWW '10. 771--780. Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. Filip Radlinski, Nick Craswell, and et. al. 2011. Search Result Driven Query Intent Identification. (2011). US Patent App. 12/813,376.Google ScholarGoogle Scholar
  34. Ridho Reinanda, Edgar Meij, and Maarten de Rijke. 2015. Mining, Ranking and Recommending Entity Aspects. Proc. of SIGIR '15. 263--272. Google ScholarGoogle ScholarDigital LibraryDigital Library
  35. Andreas Thalhammer, Nelia Lasierra, and Achim Rettinger. 2016. LinkSUM: Using Link Analysis to Summarize Entity Data Proc. of ICWE '16.Google ScholarGoogle Scholar
  36. Andreas Thalhammer and Achim Rettinger. 2014. Browsing DBpedia Entities with Summaries. Proc. of ESWC '14. 511--515. Google ScholarGoogle ScholarCross RefCross Ref
  37. Srinivas Vadrevu, Ying Tu, and Franco Salvetti. 2016. Ranking Relevant Attributes of Entity in Structured Knowledge Base. (2016). US Patent 9,229,988.Google ScholarGoogle Scholar
  38. Nikos Voskarides, Edgar Meij, Manos Tsagkias, Maarten de Rijke, and Wouter Weerkamp. Learning to Explain Entity Relationships in Knowledge Graphs Proc. of ACL '15. 564--574.Google ScholarGoogle Scholar
  39. Jörg Waitelonis and Harald Sack 2012. Towards Exploratory Video Search Using Linked Data. Multimedia Tools Appl. Vol. 59, 2 (2012), 645--672. Google ScholarGoogle ScholarDigital LibraryDigital Library
  40. Qiuyue Wang, Jaap Kamps, Georgina Ramírez Camps, Maarten Marx, Anne Schuth, Martin Theobald, Sairam Gurajada, and Arunav Mishra. 2012. Overview of the INEX 2012 Linked Data Track. In CLEF Online Working Notes.Google ScholarGoogle Scholar
  41. Yue Wang, Dawei Yin, Luo Jie, Pengyuan Wang, Makoto Yamada, Yi Chang, and Qiaozhu Mei. 2016. Beyond Ranking: Optimizing Whole-Page Presentation Proc. of WSDM '16. 103--112.Google ScholarGoogle ScholarDigital LibraryDigital Library
  42. Danyun Xu, Gong Cheng, and Yuzhong Qu. 2014. Facilitating Human Intervention in Coreference Resolution With Comparative Entity Summaries. The Semantic Web: Trends and Challenges. 535--549.Google ScholarGoogle Scholar
  43. Shuo Zhang and Krisztian Balog. 2017. EntiTables: Smart Assistance for Entity-Focused Tables Proc. of SIGIR '17.Google ScholarGoogle ScholarDigital LibraryDigital Library
  44. Nikita Zhiltsov, Alexander Kotov, and Fedor Nikolaev. 2015. Fielded Sequential Dependence Model for Ad-Hoc Entity Retrieval in the Web of Data Proc. of SIGIR '15. 253--262.Google ScholarGoogle Scholar

Index Terms

  1. Dynamic Factual Summaries for Entity Cards

          Recommendations

          Comments

          Login options

          Check if you have access through your login credentials or your institution to get full access on this article.

          Sign in
          • Published in

            cover image ACM Conferences
            SIGIR '17: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
            August 2017
            1476 pages
            ISBN:9781450350228
            DOI:10.1145/3077136

            Copyright © 2017 ACM

            Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

            Publisher

            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 7 August 2017

            Permissions

            Request permissions about this article.

            Request Permissions

            Check for updates

            Qualifiers

            • research-article

            Acceptance Rates

            SIGIR '17 Paper Acceptance Rate78of362submissions,22%Overall Acceptance Rate792of3,983submissions,20%

          PDF Format

          View or Download as a PDF file.

          PDF

          eReader

          View online with eReader.

          eReader