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The Second Workshop on Knowledge Graphs and Semantics for Text Retrieval, Analysis, and Understanding (KG4IR)

Authors:

Edgar MeijAuthors Info & Claims

SIGIR '18: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval

Pages 1423 - 1426

https://doi.org/10.1145/3209978.3210196

Published: 27 June 2018 Publication History

Abstract

Semantic technologies such as controlled vocabularies, thesauri, and knowledge graphs have been used throughout the history of information retrieval for a variety of tasks. Recent advances in knowledge acquisition, alignment, and utilization have given rise to a body of new approaches for utilizing knowledge graphs in text retrieval tasks and it is therefore time to consolidate the community efforts and study how such technologies can be employed in information retrieval systems in the most effective way. It is also time to start and deepen the dialogue between researchers and practitioners in order to ensure that breakthroughs, technologies, and algorithms in this space are widely disseminated. The goal of this workshop is to bring together and grow a community of researchers and practitioners who are interested in using, aligning, and constructing knowledge graphs and similar semantic resources for information retrieval applications.

References

[1]

Krisztian Balog and Robert Neumayer . 2013. A test collection for entity search in dbpedia. In Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval (SIGIR 2013). ACM, 737--740.

Digital Library

[2]

Rose Catherine and William Cohen . 2016. Personalized recommendations using knowledge graphs: A probabilistic logic programming approach. In Proceedings of the 10th ACM Conference on Recommender Systems. ACM, 325--332.

Digital Library

[3]

Rose Catherine, Kathryn Mazaitis, Maxine Eskenazi, and William Cohen . 2017. Explainable Entity-based Recommendations with Knowledge Graphs. arXiv preprint arXiv:1707.05254 (2017).

[4]

Jing Chen, Chenyan Xiong, and Jamie Callan . 2016. An Empirical Study of Learning to Rank for Entity Search Proceedings of SIGIR 2016. ACM, 737--740.

Digital Library

[5]

Jeffrey Dalton, Laura Dietz, and James Allan . 2014. Entity Query Feature Expansion using Knowledge Base Links Proceedings SIGIR 2014. ACM, 365--374.

Digital Library

[6]

Laura Dietz, Manisha Verma, Filip Radlinski, and Nick Craswell . 2018. TREC Complex Answer Retrieval Overview. In Text REtrieval Conference (TREC).

[7]

Laura Dietz, Chenyan Xiong, and Edgar Meij . 2017. The First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR). In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017). ACM, 1427--1428.

Digital Library

[8]

Faezeh Ensan and Ebrahim Bagheri . 2017. Document retrieval model through semantic linking. Proceedings of WSDM 2017. ACM, 181--190.

Digital Library

[9]

Dario Garigliotti, Faegheh Hasibi, and Krisztian Balog . 2017. Target Type Identification for Entity-Bearing Queries. (2017).

[10]

Marjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Wen-tau Yih, and Michel Galley . 2017. A knowledge-grounded neural conversation model. arXiv preprint arXiv:1702.01932 (2017).

[11]

Faegheh Hasibi, Krisztian Balog, and Svein Erik Bratsberg . 2015. Entity Linking in Queries: Tasks and Evaluation. Proceedings of ICTIR 2015. ACM, 171--180.

Digital Library

[12]

Faegheh Hasibi, Krisztian Balog, and Svein Erik Bratsberg . 2016. Exploiting Entity Linking in Queries for Entity Retrieval Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval. ACM, 209--218.

Digital Library

[13]

Faegheh Hasibi, Krisztian Balog, and Svein Erik Bratsberg . 2017. Dynamic Factual Summaries for Entity Cards. In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, 773--782.

Digital Library

[14]

Amina Kadry and Laura Dietz . 2017. Open Relation Extraction for Support Passage Retrieval: Merit and Open Issues Proceedings of SIGIR 2017.

Digital Library

[15]

Xitong Liu and Hui Fang . 2015. Latent entity space: A novel retrieval approach for entity-bearing queries. Information Retrieval Journal Vol. 18, 6 (2015), 473--503.

Digital Library

[16]

Xitong Liu, Peilin Yang, and Hui Fang . 2014. Entity came to rescue - Leveraging entities to minimize risks in web search Proceedings of The 23st Text Retrieval Conference, (TREC 2014). NIST.

[17]

Federico Nanni, Simone Paolo Ponzetto, and Laura Dietz . 2017. Building entity-centric event collections. In Digital Libraries (JCDL), 2017 ACM/IEEE Joint Conference on. IEEE, 1--10.

Digital Library

[18]

Hadas Raviv, Oren Kurland, and David Carmel . 2016. Document retrieval using entity-based language models Proceedings of SIGIR 2016. ACM, 65--74.

Digital Library

[19]

Rebecca Sharp, Mihai Surdeanu, Peter Jansen, Marco A Valenzuela-Escárcega, Peter Clark, and Michael Hammond . 2017. Tell Me Why: Using Question Answering as Distant Supervision for Answer Justification Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017). 69--79.

[20]

Nikos Voskarides, Edgar Meij, and Maarten de Rijke . 2017. Generating descriptions of entity relationships. European Conference on Information Retrieval. Springer, 317--330.

[21]

Chenyan Xiong and Jamie Callan . 2015 a. EsdRank: Connecting query and documents through external semi-structured data Proceedings of CIKM 2015. ACM, 951--960.

Digital Library

[22]

Chenyan Xiong and Jamie Callan . 2015 b. Query expansion with Freebase. In Proceedings of ICTIR 2015. ACM, 111--120.

Digital Library

[23]

Chenyan Xiong, Jamie Callan, and Tie-Yan Liu . 2016. Bag-of-Entities representation for ranking. In Proceedings of the sixth ACM International Conference on the Theory of Information Retrieval (ICTIR 2016). ACM, 181--184.

Digital Library

[24]

Chenyan Xiong, Zhengzhong Liu, Jamie Callan, and Eduard H. Hovy . 2017 a. JointSem: Combining Query Entity Linking and Entity based Document Ranking Proceedings of the 2017 ACM on Conference on Information and Knowledge Management (CIKM 2017). 2391--2394.

Digital Library

[25]

Chenyan Xiong, Russell Power, and Jamie Callan . 2017 b. Explicit semantic ranking for academic search via knowledge graph embedding Proceedings WWW 2017. ACM, 1271--1279.

Digital Library

[26]

Nikita Zhiltsov, Alexander Kotov, and Fedor Nikolaev . 2015. Fielded Sequential Dependence Model for Ad-Hoc Entity Retrieval in the Web of Data Proceedings of SIGIR 2015. ACM, 253--262.

Digital Library

Cited By

Liu YZhou JSang GHuang RZhao XFang JWang TLi B(2024)The Journey of Language Models in Understanding Natural LanguageWeb Information Systems and Applications10.1007/978-981-97-7707-5_29(331-363)Online publication date: 11-Sep-2024
https://doi.org/10.1007/978-981-97-7707-5_29
Chen ZZhang SDavison BDiaz FShah CSuel TCastells PJones RSakai T(2021)WTR: A Test Collection for Web Table RetrievalProceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3404835.3463260(2514-2520)Online publication date: 11-Jul-2021
https://dl.acm.org/doi/10.1145/3404835.3463260

Index Terms

The Second Workshop on Knowledge Graphs and Semantics for Text Retrieval, Analysis, and Understanding (KG4IR)
1. Information systems
  1. Information retrieval
    1. Evaluation of retrieval results
      1. Presentation of retrieval results

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Published In

cover image ACM Conferences

SIGIR '18: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval

June 2018

1509 pages

ISBN:9781450356572

DOI:10.1145/3209978

General Chairs:
Kevyn Collins-Thompson
University of Michigan, United States
,
Qiaozhu Mei
University of Michigan, United States
,
Program Chairs:
Brian Davison
Lehigh University, United States
,
Yiqun Liu
Tsinghua University, China
,
Emine Yilmaz
University College London, United Kingdom

Copyright © 2018 ACM.

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Sponsors

SIGIR: ACM Special Interest Group on Information Retrieval

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 June 2018

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Research-article

Funding Sources

Baden-Württemberg Stiftung
National Science Foundation

Conference

SIGIR '18

Sponsor:

SIGIR

SIGIR '18: The 41st International ACM SIGIR conference on research and development in Information Retrieval

July 8 - 12, 2018

MI, Ann Arbor, USA

Acceptance Rates

SIGIR '18 Paper Acceptance Rate 86 of 409 submissions, 21%;

Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

Liu YZhou JSang GHuang RZhao XFang JWang TLi B(2024)The Journey of Language Models in Understanding Natural LanguageWeb Information Systems and Applications10.1007/978-981-97-7707-5_29(331-363)Online publication date: 11-Sep-2024
https://doi.org/10.1007/978-981-97-7707-5_29
Chen ZZhang SDavison BDiaz FShah CSuel TCastells PJones RSakai T(2021)WTR: A Test Collection for Web Table RetrievalProceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3404835.3463260(2514-2520)Online publication date: 11-Jul-2021
https://dl.acm.org/doi/10.1145/3404835.3463260

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