Heterogeneous Supervision for Relation Extraction: A Representation
Learning Approach

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Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach

1 July 2017

Xiang Ren

Heng Ji

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Papers citing "Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach"

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Title
Composing Distributed Representations of Relational Patterns Sho Takase Naoaki Okazaki Kentaro Inui CoGe 61 11 0 23 Jul 2017
CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases Xiang Ren Zeqiu Wu Wenqi He Meng Qu Clare R. Voss Heng Ji Tarek Abdelzaher Jiawei Han 71 299 0 27 Oct 2016
Socratic Learning: Augmenting Generative Models to Incorporate Latent Subsets in Training Data P. Varma Bryan D. He Dan Iter Peng Xu Rose Yu Christopher De Sa Christopher Ré 74 27 0 25 Oct 2016
Learning Latent Vector Spaces for Product Search Christophe Van Gysel Maarten de Rijke Evangelos Kanoulas 48 139 0 25 Aug 2016
Unsupervised, Efficient and Semantic Expertise Retrieval Christophe Van Gysel Maarten de Rijke Marcel Worring RALM 50 76 0 23 Aug 2016
Data Programming: Creating Large Training Sets, Quickly Alexander Ratner Christopher De Sa Sen Wu Daniel Selsam Christopher Ré 197 718 0 25 May 2016
Multilingual Relation Extraction using Compositional Universal Schema Pat Verga David Belanger Emma Strubell Benjamin Roth Andrew McCallum 58 97 0 19 Nov 2015
Combining Neural Networks and Log-linear Models to Improve Relation Extraction Thien Huu Nguyen R. Grishman 63 101 0 18 Nov 2015
Improved Relation Extraction with Feature-Rich Compositional Embedding Models Matthew R. Gormley Mo Yu Mark Dredze CoGe 60 173 0 10 May 2015
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 397 33,550 0 16 Oct 2013
A Bayesian Approach to Discovering Truth from Conflicting Sources for Data Integration Bo Zhao Benjamin I. P. Rubinstein J. Gemmell Jiawei Han HILM 90 346 0 01 Mar 2012