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Inter-sentence relation extraction deals with a number of complex semantic relationships in documents, which require local, non-local, syntactic and semantic dependencies.
Dependency tree kernels for relation extraction
Aron Culotta and Jeffrey Sorensen. 2004 · 2004
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Developing a robust part-of-speech tagger for biomedical text
Yoshimasa Tsuruoka, Yuka Tateishi, Jin-Dong Kim, Tomoko Ohta, John McNaught, Sophia Ananiadou, and Jun’ichi Tsujii. 2005 · 2005
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Feature forest models for probabilistic HPSG parsing
Yusuke Miyao and Jun’ichi Tsujii. 2008 · 2008
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Modeling relations and their mentions without labeled text
Sebastian Riedel, Limin Yao, and Andrew McCallum. 2010 · 2010
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Multi-instance multi-label learning for relation extraction
Mihai Surdeanu, Julie Tibshirani, Ramesh Nallapati, and Christopher D Manning. 2012 · 2012
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Convolutional neural networks for sentence classification
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GloVe: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D Manning. 2014 · 2014
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Relation Classification via Convolutional Deep Neural Network
Daojian Zeng, Kang Liu, Siwei Lai, Guangyou Zhou, and Jun Zhao. 2014 · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2015 · 2015
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A dependency-based neural network for relation classification
Yang Liu, Furu Wei, Sujian Li, Heng Ji, Ming Zhou, and Houfeng Wang. 2015 · 2015
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Classifying relations by ranking with convolutional neural networks
Cıcero Nogueira dos Santos, Bing Xiang, and Bowen Zhou. 2015 · 2015
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Evaluating distributed word representations for capturing semantics of biomedical concepts
MUNEEB TH, Sunil Sahu, and Ashish Anand. 2015 · 2015
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Overview of the BioCreative V chemical disease relation (CDR) task
Chih-Hsuan Wei, Yifan Peng, Robert Leaman, Allan Peter Davis, Carolyn J Mattingly, Jiao Li, Thomas C Wiegers, and Zhiyong Lu. 2015 · 2015
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Convolutional neural networks on graphs with fast localized spectral filtering
Michaël Defferrard, Xavier Bresson, and Pierre Vandergheynst. 2016 · 2016
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Neural relation extraction with selective attention over instances
Yankai Lin, Shiqi Shen, Zhiyuan Liu, Huanbo Luan, and Maosong Sun. 2016 · 2016
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Encoding sentences with graph convolutional networks for semantic role labeling
Diego Marcheggiani and Ivan Titov. 2017 · 2017
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Cross-sentence n-ary relation extraction with Graph LSTMs
Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova, and Wen-tau Yih. 2017 · 2017
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biochem4j: Integrated and extensible biochemical knowledge through graph databases
Neil Swainston, Riza Batista-Navarro, Pablo Carbonell, Paul D Dobson, Mark Dunstan, Adrian J Jervis, Maria Vinaixa, Alan R Williams, Sophia Ananiadou, Jean-Loup Faulon, et al. 2017 · 2017
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Graph-based neural multi-document summarization
Michihiro Yasunaga, Rui Zhang, Kshitijh Meelu, Ayush Pareek, Krishnan Srinivasan, and Dragomir Radev. 2017 · 2017
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Chemical-induced disease extraction via recurrent piecewise convolutional neural networks
Haodi Li, Ming Yang, Qingcai Chen, Buzhou Tang, Xiaolong Wang, and Jun Yan. 2018 · 2018
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Xuezhe Ma, Zhengzhong Liu, and Eduard Hovy. 2016 · 2016
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End-to-end relation extraction using lstms on sequences and tree structures
Makoto Miwa and Mohit Bansal. 2016 · 2016
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CD-REST: a system for extracting chemical-induced disease relation in literature
Jun Xu, Yonghui Wu, Yaoyun Zhang, Jingqi Wang, Hee-Jin Lee, and Hua Xu. 2016a · 2016
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Exploiting syntactic and semantics information for chemical–disease relation extraction
Huiwei Zhou, Huijie Deng, Long Chen, Yunlong Yang, Chen Jia, and Degen Huang. 2016a · 2016
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Chemical-induced disease relation extraction via convolutional neural network
Jinghang Gu, Fuqing Sun, Longhua Qian, and Guodong Zhou. 2017 · 2017
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Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling. 2017 · 2017
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Question answering on freebase via relation extraction and textual evidence
Kun Xu, Siva Reddy, Yansong Feng, Songfang Huang, and Dongyan Zhao. 2016b
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Drug-drug interaction extraction from biomedical texts using long short-term memory network
Sunil Kumar Sahu and Ashish Anand. 2018 · 2018
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N-ary relation extraction using graph-state LSTM
Linfeng Song, Yue Zhang, Zhiguo Wang, and Daniel Gildea. 2018 · 2018
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Thalia: Semantic search engine for biomedical abstracts
Axel J Soto, Piotr Przybyła, and Sophia Ananiadou. 2018 · 2018
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Dating documents using graph convolution networks
Shikhar Vashishth, Shib Sankar Dasgupta, Swayambhu Nath Ray, and Partha Talukdar. 2018 · 2018
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Simultaneously self-attending to all mentions for full-abstract biological relation extraction
Patrick Verga, Emma Strubell, and Andrew McCallum. 2018 · 2018
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Graph convolution over pruned dependency trees improves relation extraction
Yuhao Zhang, Peng Qi, and Christopher D Manning. 2018 · 2018
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