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Distant Supervision from Knowledge Graphs

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References

  • Alfonseca E, Filippova K, Delort JY, Garrido G (2012) Pattern learning for relation extraction with a hierarchical topic model. In: Proceedings of the 50th annual meeting of the association for computational linguistics: short papers-volume 2. Association for Computational Linguistics, pp 54–59

    Google Scholar 

  • Angeli G, Tibshirani J, Wu J, Manning CD (2014) Combining distant and partial supervision for relation extraction. In: EMNLP, pp 1556–1567

    Google Scholar 

  • Augenstein I, Maynard D, Ciravegna F (2016) Distantly supervised web relation extraction for knowledge base population. Semantic Web 7(4):335–349

    Article  Google Scholar 

  • Chang KW, Yih SWt, Yang B, Meek C (2014) Typed tensor decomposition of knowledge bases for relation extraction. In: Proceedings of the 2014 conference on empirical methods in natural language processing, pp 1568–1579

    Google Scholar 

  • Fan M, Zhao D, Zhou Q, Liu Z, Zheng TF, Chang EY (2014) Distant supervision for relation extraction with matrix completion. In: ACL (1), Citeseer, pp 839–849

    Google Scholar 

  • Han X, Sun L (2016) Global distant supervision for relation extraction. In: Thirtieth AAAI conference on artificial intelligence

    Google Scholar 

  • Hoffmann R, Zhang C, Ling X, Zettlemoyer L, Weld DS (2011) Knowledge-based weak supervision for information extraction of overlapping relations. In: Proceedings of the 49th annual meeting of the association for computational linguistics: human language technologies-volume 1. Association for Computational Linguistics, pp 541–550

    Google Scholar 

  • Koch M, Gilmer J, Soderland S, Weld DS (2014) Type-aware distantly supervised relation extraction with linked arguments. In: Proceedings of EMNLP, Citeseer

    Book  Google Scholar 

  • Lin Y, Shen S, Liu Z, Luan H, Sun M (2016) Neural relation extraction with selective attention over instances. In: ACL (1)

    Google Scholar 

  • Min B, Grishman R, Wan L, Wang C, Gondek D (2013) Distant supervision for relation extraction with an incomplete knowledge base. In: HLT-NAACL, pp 777–782

    Google Scholar 

  • Mintz M, Bills S, Snow R, Jurafsky D (2009) Distant supervision for relation extraction without labeled data. In: Proceedings of the joint conference of the 47th annual meeting of the ACL and the 4th international joint conference on natural language processing of the AFNLP: volume 2-volume 2. Association for Computational Linguistics, pp 1003–1011

    Google Scholar 

  • Pershina M, Min B, Xu W, Grishman R (2014) Infusion of labeled data into distant supervision for relation extraction. In: ACL (2), pp 732–738

    Google Scholar 

  • Riedel S, Yao L, McCallum A (2010) Modeling relations and their mentions without labeled text. Mach Learn Knowl Discovery Databases. Springer, pp 148–163

    Google Scholar 

  • Riedel S, Yao L, McCallum A, Marlin BM (2013a) Relation extraction with matrix factorization and universal schemas. Human language technologies: conference of the north american chapter of the association of computational linguistics, pp 74–84

    Google Scholar 

  • Ritter A, Zettlemoyer L, Etzioni O et al (2013b) Modeling missing data in distant supervision for information extraction. Trans Assoc Comput Linguist 1: 367–378

    Article  Google Scholar 

  • Rocktäschel T, Singh S, Riedel S (2015) Injecting logical background knowledge into embeddings for relation extraction. In: HLT-NAACL, pp 1119–1129

    Google Scholar 

  • Surdeanu M, Tibshirani J, Nallapati R, Manning CD (2012) Multi-instance multi-label learning for relation extraction. In: Proceedings of the 2012 joint conference on empirical methods in natural language processing and computational natural language learning. Association for Computational Linguistics, pp 455–465

    Google Scholar 

  • Xu W, Hoffmann R, Zhao L, Grishman R (2013) Filling knowledge base gaps for distant supervision of relation extraction. In: ACL (2), pp 665–670

    Google Scholar 

  • Yao L, Haghighi A, Riedel S, McCallum A (2011) Structured relation discovery using generative models. In: Proceedings of the conference on empirical methods in natural language processing. Association for Computational Linguistics, pp 1456–1466

    Google Scholar 

  • Zeng D, Liu K, Lai S, Zhou G, Zhao J et al (2014) Relation classification via convolutional deep neural network. In: COLING, pp 2335–2344

    Google Scholar 

  • Zeng D, Liu K, Chen Y, Zhao J (2015) Distant supervision for relation extraction via piecewise convolutional neural networks. In: EMNLP, pp 1753–1762

    Google Scholar 

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Author information

Authors and Affiliations

  1. Exascale Infolab, University of Fribourg, Fribourg, Switzerland

    Alisa Smirnova, Julien Audiffren & Philippe Cudré-Mauroux

Authors
  1. Alisa Smirnova
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  2. Julien Audiffren
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  3. Philippe Cudré-Mauroux
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Corresponding author

Correspondence to Philippe Cudré-Mauroux .

Editor information

Editors and Affiliations

  1. Institute of Computer Science, University of Tartu, Tartu, Estonia

    Sherif Sakr

  2. School of Information Technologies, Sydney University, Sydney, Australia

    Albert Y. Zomaya

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Smirnova, A., Audiffren, J., Cudré-Mauroux, P. (2019). Distant Supervision from Knowledge Graphs. In: Sakr, S., Zomaya, A.Y. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-77525-8_285

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