Alex Ratner
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Abstract
Three critical design points: Joint learning, weak supervision, and new representations.
- Bunescu, R.C., Mooney, R.J. Learning to extract relations from the Web using minimal supervision. In Proceedings of the 45<sup>th</sup> Annual Meeting Assoc. Computational Linguistics, 2007, 576--583.Google Scholar
- Cafarella, M.J., Downey, D., Soderland, S., Etzioni, O. KnowItNow: Fast, scalable information extraction from the Web. In Proceedings of Conf. on Human Language Tech. Empirical Methods in Natural Language Processing, 2005, 563--570. Google ScholarDigital Library
- Caruana, R. Multitask learning: A knowledge-based source of inductive bias. In Proceedings of the 10<sup>th</sup> Intern. Conf. Machine Learning, 1993, 41--48. Google ScholarDigital Library
- Dong, X. et al. Knowledge Vault: A Web-scale approach to probabilistic knowledge fusion. In Proceedings of the 20<sup>th</sup> ACM SIGKDD Intern. Conf. Knowledge Discovery and Data Mining, 2014, 601--610. Google ScholarDigital Library
- Grover, A. and Leskovec, J. node2vec: Scalable feature learning for networks. In Proceedings of the 22<sup>nd</sup> ACM SIGKDD Intern. Conf. Knowledge Discovery and Data Mining, 2016, 855--864. Google ScholarDigital Library
- Hoffmann, R., Zhang, C., Ling, X., Zettlemoyer, L., Weld, D.S. Knowledge-based weak supervision for information extraction of overlapping relations. In Proceedings of the 49<sup>th</sup> Annual Meeting of the Assoc. Computational Linguistics--Human Language Technologies, 1, 2011, 541--550. Google ScholarDigital Library
- Lehmann, J. et al. DBpedia---A large-scale, multilingual knowledge base extracted from Wikipedia. Semantic Web 6, 2 (2014), 167--195.Google Scholar
- Mahdisoltani, F., Biega, J. and Suchanek, F.M. YAGO3: A knowledge base from multilingual wikipedias. In Proceedings of the 7<sup>th</sup> Biennial Conf. Innovative Data Systems Research, 2013.Google Scholar
- Mallory, E.K., Zhang, C., Ré, C. and Altman, R.B. Large-scale extraction of gene interactions from full-text literature using DeepDive. Bioinformatics 32, 1 (2015), 106--113.Google Scholar
- Mann, G.S. and McCallum, A. Generalized expectation criteria for semi-supervised learning with weakly labeled data. J. Machine Learning Research 11 (Feb 2010), 955--984. Google ScholarDigital Library
- Manning, C. Representations for language: From word embeddings to sentence meanings. Presented at Simons Institute for the Theory of Computing, UC Berkeley; https://nlp.stanford.edu/manning/talks/Simons-Institute-Manning-2017.pdf.Google Scholar
- Mikolov, T., Chen, K., Corrado, G. and Dean, J. Efficient estimation of word representations in vector space, 2013; arXiv preprint arXiv:1301.3781.Google Scholar
- Mintz, M., Bills, S., Snow, R. and Jurafsky, D. Distant supervision for relation extraction without labeled data. In Proceedings of the Joint Conf. 47<sup>th</sup> Annual Meeting of the Assoc. Computational Linguistics and the 4<sup>th</sup> Conf. Asian Federation of Natural Language Processing, 2009, 1003--1011. Google ScholarDigital Library
- Nickel, M. and Kiela, D. Poincaré embeddings for learning hierarchical representations. Advances in Neural Information Processing Systems 30 (2017), 6341--6350.Google Scholar
- Ratner, A., Bach, S., Varma, P. and Ré, C. Weak supervision: the new programming paradigm for machine learning. Hazy Research; https://hazyresearch.github.io/snorkel/blog/ws_blog_post.html.Google Scholar
- Ren, X., He, W., Qu, M., Voss, C. R., Ji, H., Han, J. Label noise reduction in entity typing by heterogeneous partial-label embedding. In Proceedings of the 22<sup>nd</sup> ACM SIGKDD Intern. Conf. Knowledge Discovery and Data Mining, (2016), 1825--1834. Google ScholarDigital Library
- Ruder, S. An overview of multi-task learning in deep neural networks, 2017; arXiv preprint arXiv: 1706.05098.Google Scholar
- Zhang, C., Ré, C., Cafarella, M., De Sa, C., Ratner, A., Shin, J., Wang, F., Wu, S. DeepDive: Declarative knowledge base construction. Commun. ACM 60, 5 (May 2017), 93--102. Google ScholarDigital Library
- Zhang, C., Shin, J., Ré, C., Cafarella, M. and Niu, F. Extracting databases from dark data with DeepDive. In Proceedings of the Intern. Conf. Management of Data, 2016, 847--859. Google ScholarDigital Library
Index Terms
- Research for practice: knowledge base construction in the machine-learning era
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