{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T13:44:29Z","timestamp":1743083069809,"version":"3.40.3"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319417059"},{"type":"electronic","value":"9783319417066"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-41706-6_18","type":"book-chapter","created":{"date-parts":[[2016,7,2]],"date-time":"2016-07-02T15:54:11Z","timestamp":1467474851000},"page":"331-345","source":"Crossref","is-referenced-by-count":0,"title":["Deep Distant Supervision: Learning Statistical Relational Models for Weak Supervision in Natural Language Extraction"],"prefix":"10.1007","author":[{"given":"Sriraam","family":"Natarajan","sequence":"first","affiliation":[]},{"given":"Ameet","family":"Soni","sequence":"additional","affiliation":[]},{"given":"Anurag","family":"Wazalwar","sequence":"additional","affiliation":[]},{"given":"Dileep","family":"Viswanathan","sequence":"additional","affiliation":[]},{"given":"Kristian","family":"Kersting","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,7,3]]},"reference":[{"key":"18_CR1","unstructured":"Bell, B., Koren, Y., Volinsky, C.: The bellkor solution to the netflix grand prize (2009)"},{"key":"18_CR2","unstructured":"Craven, M., Kumlien, J.: Constructing biological knowledge bases by extracting information from text sources. In: ISMB (1999)"},{"issue":"2","key":"18_CR3","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1142\/S0219525911002998","volume":"14","author":"S Devlin","year":"2011","unstructured":"Devlin, S., Kudenko, D., Grzes, M.: An empirical study of potential-based reward shaping and advice in complex, multi-agent systems. Adv. Complex Syst. 14(2), 251\u2013278 (2011)","journal-title":"Adv. Complex Syst."},{"key":"18_CR4","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-031-01549-6","volume-title":"Markov Logic: An Interface Layer for AI","author":"P Domingos","year":"2009","unstructured":"Domingos, P., Lowd, D.: Markov Logic: An Interface Layer for AI. Morgan & Claypool, San Rafael (2009)"},{"key":"18_CR5","unstructured":"Hoffmann, R., Zhang, C., Ling, X., Zettlemoyer, L., Weld, D.S.: Knowledge-based weak supervision for information extraction of overlapping relations. In: ACL (2011)"},{"key":"18_CR6","doi-asserted-by":"crossref","unstructured":"Kersting, K., Driessens, K.: Non-parametric policy gradients: a unified treatment of propositional and relational domains. In: ICML (2008)","DOI":"10.1145\/1390156.1390214"},{"key":"18_CR7","doi-asserted-by":"crossref","unstructured":"Khot, T., Natarajan, S., Kersting, K., Shavlik, J.: Learning Markov logic networks via functional gradient boosting. In: ICDM (2011)","DOI":"10.1109\/ICDM.2011.87"},{"key":"18_CR8","doi-asserted-by":"crossref","unstructured":"Kim, J., Ohta, T., Pyysalo, S., Kano, Y., Tsujii, J.: Overview of BioNLP\u201909 shared task on event extraction. In: BioNLP Workshop Companion Volume for Shared Task (2009)","DOI":"10.3115\/1572340.1572342"},{"key":"18_CR9","unstructured":"Kuhlmann, G., Stone, P., Mooney, R.J., Shavlik, J.W.: Guiding a reinforcement learner with natural language advice: initial results in robocup soccer. In: AAAI Workshop on Supervisory Control of Learning and Adaptive Systems (2004)"},{"key":"18_CR10","doi-asserted-by":"crossref","unstructured":"Mintz, M., Bills, S., Snow, R., Jurafsky, D.: Distant supervision for relation extraction without labeled data. In: ACL and AFNLP (2009)","DOI":"10.3115\/1690219.1690287"},{"key":"18_CR11","series-title":"SpringerBriefs in Computer Science","volume-title":"Boosted Statistical Relational Learners: From Benchmarks to Data-Driven Medicine","author":"S Natarajan","year":"2015","unstructured":"Natarajan, S., Kersting, K., Khot, T., Shavlik, J.: Boosted Statistical Relational Learners: From Benchmarks to Data-Driven Medicine. SpringerBriefs in Computer Science. Springer, Heidelberg (2015)"},{"issue":"1","key":"18_CR12","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1007\/s10994-011-5244-9","volume":"86","author":"S Natarajan","year":"2012","unstructured":"Natarajan, S., Khot, T., Kersting, K., Guttmann, B., Shavlik, J.: Gradient-based boosting for statistical relational learning: the relational dependency network case. Mach. Learn. 86(1), 25\u201356 (2012)","journal-title":"Mach. Learn."},{"key":"18_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1007\/978-3-319-23708-4_7","volume-title":"Inductive Logic Programming","author":"S Natarajan","year":"2015","unstructured":"Natarajan, S., Picado, J., Khot, T., Kersting, K., Re, C., Shavlik, J.: Effectively creating weakly labeled training examples via approximate domain knowledge. In: Davis, J., Ramon, J. (eds.) ILP 2014. LNCS, vol. 9046, pp. 92\u2013107. Springer, Heidelberg (2015). doi: 10.1007\/978-3-319-23708-4_7"},{"key":"18_CR14","first-page":"653","volume-title":"Introduction to Statistical Relational Learning","author":"J Neville","year":"2007","unstructured":"Neville, J., Jensen, D.: Relational dependency networks. In: Getoor, L., Taskar, B. (eds.) Introduction to Statistical Relational Learning, pp. 653\u2013692. MIT Press, Cambridge (2007)"},{"issue":"6","key":"18_CR15","first-page":"373","volume":"4","author":"F Niu","year":"2011","unstructured":"Niu, F., R\u00e9, C., Doan, A., Shavlik, J.W.: Tuffy: scaling up statistical inference in Markov logic networks using an RDBMS. PVLDB 4(6), 373\u2013384 (2011)","journal-title":"PVLDB"},{"key":"18_CR16","unstructured":"Poon, H., Vanderwende, L.: Joint inference for knowledge extraction from biomedical literature. In: NAACL (2010)"},{"key":"18_CR17","unstructured":"Raghavan, S., Mooney, R.: Online inference-rule learning from natural-language extractions. In: International Workshop on Statistical Relational AI (2013)"},{"key":"18_CR18","doi-asserted-by":"crossref","unstructured":"Riedel, S., Chun, H., Takagi, T., Tsujii, J.: A Markov logic approach to bio-molecular event extraction. In: BioNLP (2009)","DOI":"10.3115\/1572340.1572347"},{"key":"18_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"148","DOI":"10.1007\/978-3-642-15939-8_10","volume-title":"Machine Learning and Knowledge Discovery in Databases","author":"S Riedel","year":"2010","unstructured":"Riedel, S., Yao, L., McCallum, A.: Modeling relations and their mentions without labeled text. In: Balc\u00e1zar, J.L., Bonchi, F., Gionis, A., Sebag, M. (eds.) ECML PKDD 2010, Part III. LNCS, vol. 6323, pp. 148\u2013163. Springer, Heidelberg (2010)"},{"key":"18_CR20","unstructured":"Sorower, S., Dietterich, T., Doppa, J., Orr, W., Tadepalli, P., Fern, X.: Inverting Grice\u2019s maxims to learn rules from natural language extractions. In: NIPS, pp. 1053\u20131061 (2011)"},{"key":"18_CR21","unstructured":"Surdeanu, M., Ciaramita, M.: Robust information extraction with perceptrons. In: NIST ACE (2007)"},{"key":"18_CR22","unstructured":"Surdeanu, M., Tibshirani, J., Nallapati, R., Manning, C.: Multi-instance multi-label learning for relation extraction. In: EMNLP-CoNLL (2012)"},{"key":"18_CR23","unstructured":"Takamatsu, S., Sato, I., Nakagawa, H.: Reducing wrong labels in distant supervision for relation extraction. In: ACL (2012)"},{"key":"18_CR24","series-title":"Studies in Computational Intelligence","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1007\/978-3-642-05177-7_7","volume-title":"Advances in Machine Learning I","author":"L Torrey","year":"2010","unstructured":"Torrey, L., Shavlik, J., Walker, T., Maclin, R.: Transfer learning via advice taking. In: Koronacki, J., Ra\u015b, Z.W., Wierzcho\u0144, S.T., Kacprzyk, J. (eds.) Advances in Machine Learning I. SCI, vol. 262, pp. 147\u2013170. Springer, Heidelberg (2010)"},{"key":"18_CR25","doi-asserted-by":"crossref","unstructured":"Verhagen, M., Gaizauskas, R., Schilder, F., Hepple, M., Katz, G., Pustejovsky, J.: SemEval-2007 task 15: TempEval temporal relation identification. In: SemEval (2007)","DOI":"10.3115\/1621474.1621488"},{"key":"18_CR26","doi-asserted-by":"crossref","unstructured":"Viola, P., Jones, M.: Rapid object detection using a boosted cascade of simple features. In: CVPR (2001)","DOI":"10.1109\/CVPR.2001.990517"},{"key":"18_CR27","doi-asserted-by":"crossref","unstructured":"Yoshikawa, K., Riedel, S., Asahara, M., Matsumoto, Y.: Jointly identifying temporal relations with Markov logic. In: ACL and AFNLP (2009)","DOI":"10.3115\/1687878.1687936"},{"key":"18_CR28","unstructured":"Zhou, G., Su, J., Zhang, J., Zhang, M.: Exploring various knowledge in relation extraction. In: ACL (2005)"}],"container-title":["Lecture Notes in Computer Science","Solving Large Scale Learning Tasks. Challenges and Algorithms"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-41706-6_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,2]],"date-time":"2022-07-02T15:40:32Z","timestamp":1656776432000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-41706-6_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319417059","9783319417066"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-41706-6_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}