-
2
-
-
84990050051
-
Knowledge-based question answering as machine translation
-
Junwei Bao, Nan Duan, Ming Zhou, and Tiejun Zhao. 2014. Knowledge-based question answering as machine translation. Cell, 2(6).
-
(2014)
Cell
, vol.2
, Issue.6
-
-
Bao, J.1
Duan, N.2
Zhou, M.3
Zhao, T.4
-
3
-
-
85022919385
-
Class-based n-gram models of natural language
-
Peter F Brown, Peter V Desouza, Robert L Mercer, Vincent J Della Pietra, and Jenifer C Lai. 1992. Class-based n-gram models of natural language. Computational linguistics, 18(4):467–479.
-
(1992)
Computational Linguistics
, vol.18
, Issue.4
, pp. 467-479
-
-
Brown, P.F.1
Desouza, P.V.2
Mercer, R.L.3
della Pietra, V.J.4
Lai, J.C.5
-
4
-
-
84860538788
-
Learning to extract relations from the web using minimal supervision
-
Razvan Bunescu and Raymond Mooney. 2007. Learning to extract relations from the web using minimal supervision. In ACL.
-
(2007)
ACL
-
-
Bunescu, R.1
Mooney, R.2
-
5
-
-
84864058992
-
Sub-sequence kernels for relation extraction
-
Razvan Bunescu and Raymond J Mooney. 2005. Sub-sequence kernels for relation extraction. In NIPS, pages 171–178.
-
(2005)
NIPS
, pp. 171-178
-
-
Bunescu, R.1
Mooney, R.J.2
-
6
-
-
77950891804
-
Coupled semi-supervised learning for information extraction
-
ACM
-
Andrew Carlson, Justin Betteridge, Richard C Wang, Estevam R Hruschka Jr, and Tom M Mitchell. 2010. Coupled semi-supervised learning for information extraction. In Proceedings of the third ACM international conference on Web search and data mining, pages 101–110. ACM.
-
(2010)
Proceedings of the Third ACM International Conference on Web Search and Data Mining
, pp. 101-110
-
-
Carlson, A.1
Betteridge, J.2
Wang, R.C.3
Hruschka, E.R.4
Mitchell, T.M.5
-
7
-
-
33751088706
-
Extraction of gene-disease relations from medline using domain dictionaries and machine learning
-
Jun
-
Hong-Woo Chun, Yoshimasa Tsuruoka, Jin-Dong Kim, Rie Shiba, Naoki Nagata, Teruyoshi Hishiki, and Jun’ichi Tsujii. 2006. Extraction of gene-disease relations from medline using domain dictionaries and machine learning. In Pacific Symposium on Biocomputing, volume 11, pages 4–15.
-
(2006)
Pacific Symposium on Biocomputing
, vol.11
, pp. 4-15
-
-
Chun, H.-W.1
Tsuruoka, Y.2
Kim, J.-D.3
Shiba, R.4
Nagata, N.5
Hishiki, T.6
Tsujii, I.7
-
8
-
-
85071180660
-
Linguistic resources for 2013 knowledge base population evaluations
-
Joe Ellis, Xuansong Li, Kira Griffitt, Stephanie Strassel, and Jonathan Wright. 2012. Linguistic resources for 2013 knowledge base population evaluations. In TAC.
-
(2012)
TAC
-
-
Ellis, J.1
Li, X.2
Griffitt, K.3
Strassel, S.4
Wright, J.5
-
9
-
-
17644418833
-
Web-scale information extraction in knowitall:(preliminary results)
-
ACM
-
Oren Etzioni, Michael Cafarella, Doug Downey, Stanley Kok, Ana-Maria Popescu, Tal Shaked, Stephen Soderland, Daniel S Weld, and Alexander Yates. 2004. Web-scale information extraction in knowitall:(preliminary results). In Proceedings of the 13th international conference on World Wide Web, pages 100–110. ACM.
-
(2004)
Proceedings of the 13th International Conference on World Wide Web
, pp. 100-110
-
-
Etzioni, O.1
Cafarella, M.2
Downey, D.3
Kok, S.4
Popescu, A.-M.5
Shaked, T.6
Soderland, S.7
Weld, D.S.8
Yates, A.9
-
10
-
-
33847294345
-
Relexrelation extraction using dependency parse trees
-
Katrin Fundel, Robert Küffner, and Ralf Zimmer. 2007. Relexrelation extraction using dependency parse trees. Bioinformatics, 23(3):365–371.
-
(2007)
Bioinformatics
, vol.23
, Issue.3
, pp. 365-371
-
-
Fundel, K.1
Küffner, R.2
Zimmer, R.3
-
12
-
-
0000679216
-
Distributional structure
-
Zellig S Harris. 1954. Distributional structure. Word, 10(2-3):146–162.
-
(1954)
Word
, vol.10
, Issue.2-3
, pp. 146-162
-
-
Harris, Z.S.1
-
13
-
-
84859048059
-
Knowledge-based weak supervision for information extraction of overlapping relations
-
Association for Computational Linguistics
-
Raphael Hoffmann, Congle Zhang, Xiao Ling, Luke Zettlemoyer, and Daniel S Weld. 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, pages 541–550. Association for Computational Linguistics.
-
(2011)
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies-Volume 1
, pp. 541-550
-
-
Hoffmann, R.1
Zhang, C.2
Ling, X.3
Zettlemoyer, L.4
Weld, D.S.5
-
15
-
-
84996534519
-
A survey on truth discovery
-
Yaliang Li, Jing Gao, Chuishi Meng, Qi Li, Lu Su, Bo Zhao, Wei Fan, and Jiawei Han. 2016. A survey on truth discovery. SIGKDD Explor. Newsl., 17(2):1–16.
-
(2016)
SIGKDD Explor. Newsl.
, vol.17
, Issue.2
, pp. 1-16
-
-
Li, Y.1
Gao, J.2
Meng, C.3
Li, Q.4
Su, L.5
Zhao, B.6
Fan, W.7
Han, J.8
-
16
-
-
85114433408
-
Fine-grained entity recognition
-
Citeseer
-
Xiao Ling and Daniel S Weld. 2012. Fine-grained entity recognition. In AAAI. Citeseer.
-
(2012)
AAAI
-
-
Ling, X.1
Weld, D.S.2
-
17
-
-
85117622017
-
The stanford corenlp natural language processing toolkit
-
Christopher D Manning, Mihai Surdeanu, John Bauer, Jenny Rose Finkel, Steven Bethard, and David Mc-Closky. 2014. The stanford corenlp natural language processing toolkit. In ACL (System Demonstrations), pages 55–60.
-
(2014)
ACL (System Demonstrations)
, pp. 55-60
-
-
Manning, C.D.1
Surdeanu, M.2
Bauer, J.3
Finkel, J.R.4
Bethard, S.5
Mc-Closky, D.6
-
18
-
-
84898956512
-
Distributed representations of words and phrases and their compositionality
-
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. In Advances in neural information processing systems, pages 3111–3119.
-
(2013)
Advances in Neural Information Processing Systems
, pp. 3111-3119
-
-
Mikolov, T.1
Sutskever, I.2
Chen, K.3
Corrado, G.S.4
Dean, J.5
-
19
-
-
85184862820
-
Distant supervision for relation extraction without labeled data
-
Volume 2 Association for Computational Linguistics
-
Mike Mintz, Steven Bills, Rion Snow, and Dan Jurafsky. 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, pages 1003–1011. Association for Computational Linguistics.
-
(2009)
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
, vol.2
, pp. 1003-1011
-
-
Mintz, M.1
Bills, S.2
Snow, R.3
Jurafsky, D.4
-
23
-
-
85019255800
-
Data programming: Creating large training sets, quickly
-
Alexander J Ratner, Christopher M De Sa, Sen Wu, Daniel Selsam, and Christopher Ré. 2016. Data programming: Creating large training sets, quickly. In Advances in Neural Information Processing Systems, pages 3567–3575.
-
(2016)
Advances in Neural Information Processing Systems
, pp. 3567-3575
-
-
Ratner, A.J.1
de Sa, C.M.2
Wu, S.3
Selsam, D.4
Ré, C.5
-
24
-
-
84954097569
-
ClusType: Effective entity recognition and typing by relation phrase-based clustering
-
ACM
-
Xiang Ren, Ahmed El-Kishky, Chi Wang, Fangbo Tao, Clare R Voss, and Jiawei Han. 2015. Clustype: Effective entity recognition and typing by relation phrase-based clustering. In Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 995–1004. ACM.
-
(2015)
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 995-1004
-
-
Ren, X.1
El-Kishky, A.2
Wang, C.3
Tao, F.4
Voss, C.R.5
Han, J.6
-
25
-
-
85047825018
-
-
arXiv preprint
-
Xiang Ren, Zeqiu Wu, Wenqi He, Meng Qu, Clare R Voss, Heng Ji, Tarek F Abdelzaher, and Jiawei Han. 2016. Cotype: Joint extraction of typed entities and relations with knowledge bases. arXiv preprint arXiv:1610.08763.
-
(2016)
Cotype: Joint Extraction of Typed Entities and Relations with Knowledge Bases
-
-
Ren, X.1
Wu, Z.2
He, W.3
Qu, M.4
Voss, C.R.5
Ji, H.6
Abdelzaher, T.F.7
Han, J.8
-
27
-
-
84926180274
-
Relation extraction with matrix factorization and universal schemas
-
Sebastian Riedel, Limin Yao, Andrew McCallum, and Benjamin M Marlin. 2013. Relation extraction with matrix factorization and universal schemas. In HLTNAACL, pages 74–84.
-
(2013)
HLTNAACL
, pp. 74-84
-
-
Riedel, S.1
Yao, L.2
McCallum, A.3
Marlin, B.M.4
-
28
-
-
33646409836
-
Relext: A tool for relation extraction from text in ontology extension
-
Springer
-
Alexander Schutz and Paul Buitelaar. 2005. Relext: A tool for relation extraction from text in ontology extension. In International semantic web conference, volume 2005, pages 593–606. Springer.
-
(2005)
International Semantic Web Conference
, vol.2005
, pp. 593-606
-
-
Schutz, A.1
Buitelaar, P.2
-
29
-
-
84904163933
-
Dropout: A simple way to prevent neural networks from overfitting
-
Nitish Srivastava, Geoffrey E Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. 2014. Dropout: a simple way to prevent neural networks from overfitting. Journal of Machine Learning Research, 15(1):1929–1958.
-
(2014)
Journal of Machine Learning Research
, vol.15
, Issue.1
, pp. 1929-1958
-
-
Srivastava, N.1
Hinton, G.E.2
Krizhevsky, A.3
Sutskever, I.4
Salakhutdinov, R.5
-
30
-
-
85011977322
-
Composing distributed representations of relational patterns
-
Sho Takase and Naoaki Okazaki Kentaro Inui. 2016. Composing distributed representations of relational patterns. In Proceedings of ACL.
-
(2016)
Proceedings of ACL
-
-
Takase, S.1
Inui, N.O.K.2
-
31
-
-
84959903485
-
Representing text for joint embedding of text and knowledge bases
-
Kristina Toutanova, Danqi Chen, Patrick Pantel, Hoifung Poon, Pallavi Choudhury, and Michael Gamon. 2015. Representing text for joint embedding of text and knowledge bases. In EMNLP, volume 15, pages 1499–1509.
-
(2015)
EMNLP
, vol.15
, pp. 1499-1509
-
-
Toutanova, K.1
Chen, D.2
Pantel, P.3
Poon, H.4
Choudhury, P.5
Gamon, M.6
-
33
-
-
84980363256
-
Unsupervised, efficient and semantic expertise retrieval
-
International World Wide Web Conferences Steering Committee
-
Christophe Van Gysel, Maarten de Rijke, and Marcel Worring. 2016b. Unsupervised, efficient and semantic expertise retrieval. In Proceedings of the 25th International Conference on World Wide Web, pages 1069–1079. International World Wide Web Conferences Steering Committee.
-
(2016)
Proceedings of the 25th International Conference on World Wide Web
, pp. 1069-1079
-
-
van Gysel, C.1
de Rijke, M.2
Worring, M.3
-
34
-
-
85021648610
-
-
arXiv preprint
-
Paroma Varma, Bryan He, Dan Iter, Peng Xu, Rose Yu, Christopher De Sa, and Christopher Ré. 2016. Socratic learning: Correcting misspecified generative models using discriminative models. arXiv preprint arXiv:1610.08123.
-
(2016)
Socratic Learning: Correcting Misspecified Generative Models Using Discriminative Models
-
-
Varma, P.1
He, B.2
Iter, D.3
Xu, P.4
Yu, R.5
de Sa, C.6
Ré, C.7
-
36
-
-
84959862537
-
Relation classification via convolutional deep neural network
-
Daojian Zeng, Kang Liu, Siwei Lai, Guangyou Zhou, Jun Zhao, et al. 2014. Relation classification via convolutional deep neural network. In COLING, pages 2335–2344.
-
(2014)
COLING
, pp. 2335-2344
-
-
Zeng, D.1
Liu, K.2
Lai, S.3
Zhou, G.4
Zhao, J.5
-
37
-
-
84954101653
-
Modeling truth existence in truth discovery
-
ACM
-
Shi Zhi, Bo Zhao, Wenzhu Tong, Jing Gao, Dian Yu, Heng Ji, and Jiawei Han. 2015. Modeling truth existence in truth discovery. In Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 1543–1552. ACM.
-
(2015)
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 1543-1552
-
-
Zhi, S.1
Zhao, B.2
Tong, W.3
Gao, J.4
Yu, D.5
Ji, H.6
Han, J.7
|