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Named Entity Recognition (NER) is often the first step towards automated Knowledge Base (KB) generation from raw text.
Measuring individual differences in implicit cognition: the implicit association test
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Gender Bias in Coreference Resolution. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers) . Association for Computational Linguistics, New Orleans, Louisiana, 8–14
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Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition. In Proceedings of the Seventh Conference on Natural Language Learning at HLT-NAACL 2003 . 142–147
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Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination
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A Search Engine Approach to Estimating Temporal Changes in Gender Orientation of First Names. In Proceedings of the 13th ACM/IEEE-CS Joint Conference on Digital Libraries (Indianapolis, Indiana, USA) (JCDL ’13) . ACM, New York, NY, USA, 199–208
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The Stanford CoreNLP Natural Language Processing Toolkit. In Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations . Association for Computational Linguistics, Baltimore, Maryland, 55–60
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Glove: Global Vectors for Word Representation. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) . Association for Computational Linguistics, Doha, Qatar, 1532–1543
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
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Bidirectional LSTM-CRF Models for Sequence Tagging
Zhiheng Huang, Wei Xu, and Kai Yu. 2015 · 2015
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Man is to Computer Programmer As Woman is to Homemaker? Debiasing Word Embeddings. In Proceedings of the 30th International Conference on Neural Information Processing Systems (Barcelona, Spain) (NIPS’16) . Curran Associates Inc., USA, 4356–4364
Tolga Bolukbasi, Kai-Wei Chang, James Zou, Venkatesh Saligrama, and Adam Kalai. 2016 · 2016
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Neural Architectures for Named Entity Recognition. In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies . Association for Computational Linguistics, San Diego, California, 260–270
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, and Chris Dyer. 2016 · 2016
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Semi-supervised Named Entity Recognition in noisy-text. In Proceedings of the 2nd Workshop on Noisy User-generated Text (WNUT) . The COLING 2016 Organizing Committee, Osaka, Japan, 203–212
Shubhanshu Mishra and Jana Diesner. 2016 · 2016
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Google’s Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Self-citation is the hallmark of productive authors, of any gender
Shubhanshu Mishra, Brent D. Fegley, Jana Diesner, and Vetle I. Torvik. 2018 · 2018
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Algorithms of Oppression: How Search Engines Reinforce Racism (first ed.)
Safiya Umoja Noble. 2018 · 2018
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Mining Knowledge Graphs From Text. In Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining (Marina Del Rey, CA, USA) (WSDM ’18) . ACM, New York, NY, USA, 789–790
Jay Pujara and Sameer Singh. 2018 · 2018
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) . Association for Computational Linguistics, Minneapolis, Minnesota, 4171–4186
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V. Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, Jeff Klingner, Apurva Shah, Melvin Johnson, Xiaobing Liu, Lukasz Kaiser, Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, Keith Stevens, George Kurian, Nishant Patil, Wei Wang, Cliff Young, Jason Smith, Jason Riesa, Alex Rudnick, Oriol Vinyals, Greg Corrado, Macduff Hughes, and Jeffrey Dean. 2016 · 2016
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The Problem With Bias: Allocative Versus Representational Harms in Machine Learning. In Proceedings of the 9th Annual Conference of the Special Interest Group for Computing, Information and Society (Philadelphia, PA, USA)
Solon Barocas, Kate Crawford, Aaron Shapiro, and Hanna Wallach. 2017 · 2017
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Semantics derived automatically from language corpora contain human-like biases
Aylin Caliskan, Joanna J Bryson, and Arvind Narayanan. 2017 · 2017
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Semi-supervised sequence tagging with bidirectional language models. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . Association for Computational Linguistics, Vancouver, Canada, 1756–1765
Matthew Peters, Waleed Ammar, Chandra Bhagavatula, and Russell Power. 2017 · 2017
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Social Bias in Elicited Natural Language Inferences. In Proceedings of the First ACL Workshop on Ethics in Natural Language Processing . Association for Computational Linguistics, Valencia, Spain, 74–79
Rachel Rudinger, Chandler May, and Benjamin Van Durme. 2017 · 2017
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ConceptNet 5.5: An Open Multilingual Graph of General Knowledge. In Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (San Francisco, California, USA) (AAAI’17) . AAAI Press, 4444–4451
Robyn Speer, Joshua Chin, and Catherine Havasi. 2017 · 2017
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Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) . Association for Computational Linguistics, Minneapolis, Minnesota, 609–614
Hila Gonen and Yoav Goldberg. 2019 · 2019
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Deep Natural Language Processing for Search Systems. In Proceedings of the 42Nd International ACM SIGIR Conference on Research and Development in Information Retrieval (Paris, France) (SIGIR’19) . ACM, New York, NY, USA, 1405–1406
Weiwei Guo, Huiji Gao, Jun Shi, and Bo Long. 2019 · 2019
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Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings. In NAACL-HLT
Thomas Manzini, Yao Chong Lim, Yulia Tsvetkov, and Alan W. Black. 2019 · 2019
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Multi-Dataset-Multi-Task Neural Sequence Tagging for Information Extraction from Tweets. In Proceedings of the 30th ACM Conference on Hypertext and Social Media (Hof, Germany) (HT ’19) . Association for Computing Machinery, New York, NY, USA, 283–284
Shubhanshu Mishra. 2019 · 2019
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A Transparent Framework for Evaluating Unintended Demographic Bias in Word Embeddings. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics . Association for Computational Linguistics, Florence, Italy, 1662–1667
Chris Sweeney and Maryam Najafian. 2019 · 2019
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