Fetching the paper…
Reading the bibliography…
Despite the recent progress, little is known about the features captured by state-of-the-art neural relation extraction (RE) models.
Joohong Lee, Sangwoo Seo, and Yong Suk Choi. 2019 · 1901
Earlier work this paper cites.
Spanbert: Improving pre-training by representing and predicting spans
Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke S. Zettlemoyer, and Omer Levy. 2019 · 1907
Earlier work this paper cites.
A Shortest Path Dependency Kernel for Relation Extraction
Razvan C. Bunescu and Raymond J. Mooney. 2005 · 2005
Earlier work this paper cites.
Exploring various knowledge in relation extraction
GuoDong Zhou, Jian Su, Jie Zhang, and Min Zhang. 2005 · 2005
Earlier work this paper cites.
Distant Supervision for Relation Extraction Without Labeled Data
Mike Mintz, Steven Bills, Rion Snow, and Dan Jurafsky. 2009 · 2009
Earlier work this paper cites.
Semeval-2010 task 8: Multi-way classification of semantic relations between pairs of nominals
Iris Hendrickx, Su Nam Kim, Zornitsa Kozareva, Preslav Nakov, Diarmuid Ó Séaghdha, Sebastian Padó, Marco Pennacchiotti, Lorenza Romano, and Stan Szpakowicz. 2010 · 2010
Earlier work this paper cites.
Customizing an information extraction system to a new domain
Mihai Surdeanu, David McClosky, Mason R. Smith, Andrey Gusev, and Christopher D. Manning. 2011 · 2011
Earlier work this paper cites.
Large-Scale Learning of Relation-Extraction Rules with Distant Supervision from the Web
Sebastian Krause, Hong Li, Hans Uszkoreit, and Feiyu Xu. 2012 · 2012
Earlier work this paper cites.
The Stanford CoreNLP Natural Language Processing Toolkit
Christopher Manning, Mihai Surdeanu, John Bauer, Jenny Finkel, Steven Bethard, and David McClosky. 2014 · 2014
Earlier work this paper cites.
Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
Earlier work this paper cites.
Relation classification via convolutional deep neural network
Daojian Zeng, Kang Liu, Siwei Lai, Guangyou Zhou, and Jun Zhao. 2014 · 2014
Earlier work this paper cites.
Relation extraction: Perspective from convolutional neural networks
Thien Huu Nguyen and Ralph Grishman. 2015 · 2015
Earlier work this paper cites.
Classifying Relations by Ranking with Convolutional Neural Networks
Cicero dos Santos, Bing Xiang, and Bowen Zhou. 2015 · 2015
Cited alongside, same era.
Relation classification via recurrent neural network
Dongxu Zhang and Dong Wang. 2015 · 2015
Cited alongside, same era.
Bidirectional Recurrent Convolutional Neural Network for Relation Classification
Rui Cai, Xiaodong Zhang, and Houfeng Wang. 2016 · 2016
Cited alongside, same era.
Semi-supervised classification with graph convolutional networks
Thomas N. Kipf and Max Welling. 2016 · 2016
Cited alongside, same era.
Neural Relation Extraction with Selective Attention over Instances
Yankai Lin, Shiqi Shen, Zhiyuan Liu, Huanbo Luan, and Maosong Sun. 2016 · 2016
Cited alongside, same era.
Senteval: An evaluation toolkit for universal sentence representations
Alexis Conneau and Douwe Kiela. 2018 · 2018
Later among the works it cites.
What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties
Alexis Conneau, Germán Kruszewski, Guillaume Lample, Loïc Barrault, and Marco Baroni. 2018 · 2018
Later among the works it cites.
BERT: pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Later among the works it cites.
Allennlp: A deep semantic natural language processing platform
Matt Gardner, Joel Grus, Mark Neumann, Oyvind Tafjord, Pradeep Dasigi, Nelson F. Liu, Matthew E. Peters, Michael Schmitz, and Luke Zettlemoyer. 2018 · 2018
Later among the works it cites.
Under the hood: Using diagnostic classifiers to investigate and improve how language models track agreement information
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Does string-based neural mt learn source syntax?
Xing Shi, Inkit Padhi, and Kevin Knight. 2016 · 2016
Cited alongside, same era.
Relation Classification via Multi-Level Attention CNNs
Linlin Wang, Zhu Cao, Gerard de Melo, and Zhiyuan Liu. 2016 · 2016
Cited alongside, same era.
Fine-grained analysis of sentence embeddings using auxiliary prediction tasks
Yossi Adi, Einat Kermany, Yonatan Belinkov, Ofer Lavi, and Yoav Goldberg. 2017 · 2017
Cited alongside, same era.
What do neural machine translation models learn about morphology?
Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, Hassan Sajjad, and James Glass. 2017 · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Position-aware attention and supervised data improve slot filling
Yuhao Zhang, Victor Zhong, Danqi Chen, Gabor Angeli, and Christopher D. Manning. 2017 · 2017
Cited alongside, same era.
Fine-tuning pre-trained transformer language models to distantly supervised relation extraction
Christoph Alt, Marc Hübner, and Leonhard Hennig. 2019a
Cited in the paper.
Mario Giulianelli, Jack Harding, Florian Mohnert, Dieuwke Hupkes, and Willem Zuidema. 2018 · 2018
Later among the works it cites.
Deep contextualized word representations
Matthew Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
Later among the works it cites.
Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever. 2018 · 2018
Later among the works it cites.
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya, and Partha Talukdar. 2018 · 2018
Later among the works it cites.
Graph convolution over pruned dependency trees improves relation extraction
Yuhao Zhang, Peng Qi, and Christopher D. Manning. 2018 · 2018
Later among the works it cites.
Improving relation extraction by pre-trained language representations
Christoph Alt, Marc Hübner, and Leonhard Hennig. 2019b · 2019
Later among the works it cites.
Knowledge enhanced contextual word representations
Matthew E. Peters, Mark Neumann, Robert Logan, Roy Schwartz, Vidur Joshi, Sameer Singh, and Noah A. Smith. 2019 · 2019
Later among the works it cites.