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Recent developments in Neural Relation Extraction (NRE) have made significant strides towards Automated Knowledge Base Construction (AKBC).
Equalizing gender biases in neural machine translation with word embeddings techniques
Joel Escudé Font and Marta R Costa-Jussa. 2019 · 1901
Earlier work this paper cites.
What’s in a Name? Reducing Bias in Bios without Access to Protected Attributes
Alexey Romanov, Maria De-Arteaga, Hanna Wallach, Jennifer Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Geyik, Krishnaram Kenthapadi, Anna Rumshisky, and Adam Tauman Kalai. 2019 · 1904
Earlier work this paper cites.
Gender Bias in Contextualized Word Embeddings
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, and Kai-Wei Chang. 2019 · 1904
Earlier work this paper cites.
Improving Neural Relation Extraction with Implicit Mutual Relations
Jun Kuang, Yixin Cao, Jianbing Zheng, Xiangnan He, Ming Gao, and Aoying Zhou. 2019 · 1907
Earlier work this paper cites.
OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction
Xu Han, Tianyu Gao, Yuan Yao, Demin Ye, Zhiyuan Liu, and Maosong Sun. 2019 · 1909
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It’s All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution
Rowan Hall Maudslay, Hila Gonen, Ryan Cotterell, and Simone Teufel. 2019 · 1909
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Measuring Nominal Scale Agreement Among Many Raters
Joseph L Fleiss. 1971 · 1971
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Extracting Patterns and Relations from the World Wide Web
Sergey Brin. 1998 · 1998
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Snowball: Extracting relations from large plain-text collections
Eugene Agichtein and Luis Gravano. 2000 · 2000
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Text Classification using String Kernels
Huma Lodhi, Craig Saunders, John Shawe-Taylor, Nello Cristianini, and Chris Watkins. 2002 · 2002
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Kernel Methods for Relation Extraction
Dmitry Zelenko, Chinatsu Aone, and Anthony Richardella. 2003 · 2003
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Combining Lexical, Syntactic, and Semantic Features with Maximum Entropy Models for Extracting Relations
Nanda Kambhatla. 2004 · 2004
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Unsupervised Named-Entity Extraction from the Web: An Experimental Study
Oren Etzioni, Michael Cafarella, Doug Downey, Ana-Maria Popescu, Tal Shaked, Stephen Soderland, Daniel S Weld, and Alexander Yates. 2005 · 2005
Earlier work this paper cites.
Extracting relations with integrated information using kernel methods
Shubin Zhao and Ralph Grishman. 2005 · 2005
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Exploring various knowledge in relation extraction
GuoDong Zhou, Jian Su, Jie Zhang, and Min Zhang. 2005 · 2005
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Espresso: Leveraging generic patterns for automatically harvesting semantic relations
Patrick Pantel and Marco Pennacchiotti. 2006 · 2006
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A review of relation extraction
Nguyen Bach and Sameer Badaskar. 2007 · 2007
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Open Information Extraction from the Web
Oren Etzioni, Michele Banko, Stephen Soderland, and Daniel S Weld. 2008 · 2008
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Distant Supervision for Relation Extraction Without Labeled Data
Mike Mintz, Steven Bills, Rion Snow, and Dan Jurafsky. 2009 · 2009
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Knowledge-based Weak Supervision for Information Extraction of Overlapping Relations
Raphael Hoffmann, Congle Zhang, Xiao Ling, Luke Zettlemoyer, and Daniel S Weld. 2011 · 2011
Cited alongside, same era.
Fairness Through Awareness
Cynthia Dwork, Moritz Hardt, Toniann Pitassi, Omer Reingold, and Richard Zemel. 2012 · 2012
Cited alongside, same era.
Dbpedia for nlp: A multilingual cross-domain knowledge base
Pablo N. Mendes, Max Jakob, and Christian Bizer. 2012 · 2012
Cited alongside, same era.
Multi-instance Multi-label Learning for Relation Extraction
Mihai Surdeanu, Julie Tibshirani, Ramesh Nallapati, and Christopher D Manning. 2012 · 2012
Cited alongside, same era.
Distributed Representations of Words and Phrases and Their Compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013 · 2013
Cited alongside, same era.
Relation Extraction with Matrix Factorization and Universal Schemas
Measuring and Mitigating Unintended Bias in Text Classification
Lucas Dixon, John Li, Jeffrey Sorensen, Nithum Thain, and Lucy Vasserman. 2018 · 2018
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Reinforcement Learning for Relation Classification from Noisy Data
Jun Feng, Minlie Huang, Li Zhao, Yang Yang, and Xiaoyan Zhu. 2018 · 2018
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Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes
Nikhil Garg, Londa Schiebinger, Dan Jurafsky, and James Zou. 2018 · 2018
Later among the works it cites.
Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems
Svetlana Kiritchenko and Saif M Mohammad. 2018 · 2018
Later among the works it cites.
Gender Bias in Neural Natural Language Processing
Kaiji Lu, Piotr Mardziel, Fangjing Wu, Preetam Amancharla, and Anupam Datta. 2018 · 2018
Later among the works it cites.
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Sebastian Riedel, Limin Yao, Andrew McCallum, and Benjamin M Marlin. 2013 · 2013
Cited alongside, same era.
Question answering with subgraph embeddings
Antoine Bordes, Sumit Chopra, and Jason Weston. 2014 · 2014
Cited alongside, same era.
First Women, Second sex: Gender Bias in Wikipedia
Eduardo Graells-Garrido, Mounia Lalmas, and Filippo Menczer. 2015 · 2015
Cited alongside, same era.
It’s a Man’s Wikipedia? Assessing Gender Inequality in an Online Encyclopedia
Claudia Wagner, David Garcia, Mohsen Jadidi, and Markus Strohmaier. 2015 · 2015
Cited alongside, same era.
Distant Supervision for Relation Extraction Via Piecewise Convolutional Neural Networks
Daojian Zeng, Kang Liu, Yubo Chen, and Jun Zhao. 2015 · 2015
Cited alongside, same era.
Man Is to Computer Programmer As Woman Is to Homemaker? Debiasing Word Embeddings
Tolga Bolukbasi, Kai-Wei Chang, James Y Zou, Venkatesh Saligrama, and Adam T Kalai. 2016 · 2016
Cited alongside, same era.
Equality of Opportunity in Supervised Learning
Moritz Hardt, Eric Price, and Srebro. 2016 · 2016
Cited alongside, same era.
Robust distant supervision relation extraction via deep reinforcement learning
Pengda Qin, Weiran Xu, and William Yang Wang. 2018 · 2018
Later among the works it cites.
Gender Bias in Coreference Resolution
Rachel Rudinger, Jason Naradowsky, Brian Leonard, and Benjamin Van Durme. 2018 · 2018
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The New York Times Annotated Corpus
Evan Sandhaus. 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.
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, and Kai-Wei Chang. 2018 · 2018
Later among the works it cites.
Identifying and reducing gender bias in word-level language models
Shikha Bordia and Samuel R. Bowman. 2019 · 2019
Closest in time.
Kbqa: Learning question answering over qa corpora and knowledge bases
Wanyun Cui, Yanghua Xiao, Haixun Wang, Yangqiu Song, Seung-won Hwang, and Wei Wang. 2019 · 2019
Closest in time.
Bias in Bios: A Case Study of Semantic Representation Bias in a High-stakes Setting
Maria De-Arteaga, Alexey Romanov, Hanna Wallach, Jennifer Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Geyik, Krishnaram Kenthapadi, and Adam Tauman Kalai. 2019 · 2019
Closest in time.
Equalizing gender bias in neural machine translation with word embeddings techniques
Joel Escudé Font and Marta R. Costa-jussà. 2019 · 2019
Closest in time.
Neural Relation Extraction Within and Across Sentence Boundaries
Pankaj Gupta, Subburam Rajaram, Hinrich Schütze, and Thomas Runkler. 2019 · 2019
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The woman worked as a babysitter: On biases in language generation
Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, and Nanyun Peng. 2019 · 2019
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Building Knowledge Base through Deep Learning Relation Extraction and Wikidata
Pero Subasic, Hongfeng Yin, and Xiao Lin. 2019 · 2019
Closest in time.
Mitigating Gender Bias in Natural Language Processing: Literature Review
Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth Belding, Kai-Wei Chang, and William Yang Wang. 2019 · 2019
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Neural Relation Extraction for Knowledge Base Enrichment
Bayu Distiawan Trisedya, Gerhard Weikum, Jianzhong Qi, and Rui Zhang. 2019 · 2019
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