Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning-Reference-Cited by-同舟云学术

Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18
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Author:

Qu Meng¹,Ren Xiang²,Zhang Yu¹,Han Jiawei¹

Affiliation:

1. University of Illinois at Urbana-Champaign, Urbana, IL, USA

2. University of Southern California, Los Angeles, CA, USA

Funder

National Science Foundation

U.S. Army Research Lab.

DARPA

trans-NIH Big Data to Knowledge (BD2K) initiative

Publisher

ACM Press

Reference45 articles.

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2. L. Bing, S. Chaudhari, R. Wang, and W. Cohen. Improving distant supervision for information extraction using label propagation through lists. In EMNLP'15, pages 524--529, 2015.

3. A. Blum and T. Mitchell. Combining labeled and unlabeled data with co-training. In COLT'98, pages 92--100, 1998.

4. A. Bordes, N. Usunier, A. Garcia-Duran, J. Weston, and O. Yakhnenko. Translating embeddings for modeling multi-relational data. In NIPS'13, pages 2787--2795, 2013.

5. R. C. Bunescu and R. J. Mooney. A shortest path dependency kernel for relation extraction. In HLT-EMNLP'05, pages 724--731, 2005.

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