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Despite recent advancements, NLP models continue to be vulnerable to bias.
Deep batch active learning by diverse, uncertain gradient lower bounds
Jordan T. Ash, Chicheng Zhang, Akshay Krishnamurthy, John Langford, and Alekh Agarwal. 2020 · 1906
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A sequential algorithm for training text classifiers
David D. Lewis and William A. Gale. 1994 · 1994
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Toward optimal active learning through sampling estimation of error reduction
Nicholas Roy and Andrew McCallum. 2001 · 2001
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Learning question classifiers
Xin Li and Dan Roth. 2002 · 2002
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Representative sampling for text classification using support vector machines
Zhao Xu, Kai Yu, Volker Tresp, Xiaowei Xu, and Jizhi Wang. 2003 · 2003
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A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts
Bo Pang and Lillian Lee. 2004 · 2004
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The ICSI meeting recorder dialog act (MRDA) corpus
Elizabeth Shriberg, Raj Dhillon, Sonali Bhagat, Jeremy Ang, and Hannah Carvey. 2004 · 2004
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Large-scale text categorization by batch mode active learning
Steven C. H. Hoi, Rong Jin, and Michael R. Lyu. 2006 · 2006
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Multiple-instance active learning
Burr Settles, Mark W. Craven, and Soumya Ray. 2007 · 2007
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Active learning literature survey
Burr Settles. 2009 · 2009
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Clustering-based stratified seed sampling for semi-supervised relation classification
Longhua Qian and Guodong Zhou. 2010 · 2010
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Active learning with clustering
Zalán Bodó, Zsolt Minier, and L. Csató. 2011 · 2011
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Distributed representations of sentences and documents
Quoc V. Le and Tomas Mikolov. 2014 · 2014
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Active learning with clustering and unsupervised feature learning
Saul Berardo, Eloi L. Favero, and Nelson Cruz Sampaio Neto. 2015 · 2015
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Brian Kenji Iwana, Syed Tahseen Raza Rizvi, Sheraz Ahmed, Andreas Dengel, and Seiichi Uchida. 2016 · 2016
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Automated hate speech detection and the problem of offensive language
Thomas Davidson, Dana Warmsley, Michael Macy, and Ingmar Weber. 2017 · 2017
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Interactive evaluation of classifiers under limited resources
Sabit Hassan, Shaden Shaar, Bhiksha Raj, and Saquib Razak. 2018 · 2018
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Examining gender and race bias in two hundred sentiment analysis systems
Svetlana Kiritchenko and Saif Mohammad. 2018 · 2018
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Classifier risk estimation under limited labeling resources
Anurag Kumar and Bhiksha Raj. 2018 · 2018
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CARER: Contextualized affect representations for emotion recognition
Elvis Saravia, Hsien-Chi Toby Liu, Yen-Hao Huang, Junlin Wu, and Yi-Shin Chen. 2018 · 2018
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Racial bias in hate speech and abusive language detection datasets
Thomas Davidson, Debasmita Bhattacharya, and Ingmar Weber. 2019 · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Mitigating language-dependent ethnic bias in BERT
Jaimeen Ahn and Alice Oh. 2021 · 2021
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Reducing confusion in active learning for part-of-speech tagging
Aditi Chaudhary, Antonios Anastasopoulos, Zaid Sheikh, and Graham Neubig. 2021 · 2021
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Batch active learning at scale
Gui Citovsky, Giulia DeSalvo, Claudio Gentile, Lazaros Karydas, Anand Rajagopalan, Afshin Rostamizadeh, and Sanjiv Kumar. 2021 · 2021
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Human-in-the-loop for data collection: a multi-target counter narrative dataset to fight online hate speech
Margherita Fanton, Helena Bonaldi, Serra Sinem Tekiroğlu, and Marco Guerini. 2021 · 2021
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On statistical bias in active learning: How and when to fix it
Sebastian Farquhar, Yarin Gal, and Tom Rainforth. 2021 · 2021
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Sentence-BERT: Sentence embeddings using Siamese BERT-networks
Nils Reimers and Iryna Gurevych. 2019 · 2019
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Predicting the type and target of offensive posts in social media
Marcos Zampieri, Shervin Malmasi, Preslav Nakov, Sara Rosenthal, Noura Farra, and Ritesh Kumar. 2019 · 2019
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An ensemble deep active learning method for intent classification
Leihan Zhang and Le Zhang. 2019 · 2019
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Diverse mini-batch active learning
Fedor Zhdanov. 2019 · 2019
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Pre-trained language model based active learning for sentence matching
Guirong Bai, Shizhu He, Kang Liu, Jun Zhao, and Zaiqing Nie. 2020 · 2020
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Active Learning for BERT: An Empirical Study
Liat Ein-Dor, Alon Halfon, Ariel Gera, Eyal Shnarch, Lena Dankin, Leshem Choshen, Marina Danilevsky, Ranit Aharonov, Yoav Katz, and Noam Slonim. 2020 · 2020
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Deep active learning for biased datasets via fisher kernel self-supervision
Denis A. Gudovskiy, Alec Hodgkinson, Takuya Yamaguchi, and Sotaro Tsukizawa. 2020 · 2020
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ASAD: Arabic social media analytics and unDerstanding
Sabit Hassan, Hamdy Mubarak, Ahmed Abdelali, and Kareem Darwish. 2021 · 2021
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Mitigating sampling bias and improving robustness in active learning
Ranganath Krishnan, Alok Sinha, Nilesh A. Ahuja, Mahesh Subedar, Omesh Tickoo, and Ravi R. Iyer. 2021 · 2021
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On robustness and bias analysis of bert-based relation extraction
Luoqiu Li, Xiang Chen, Hongbin Ye, Zhen Bi, Shumin Deng, Ningyu Zhang, and Huajun Chen. 2021 · 2021
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Active learning by acquiring contrastive examples
Katerina Margatina, Giorgos Vernikos, Loïc Barrault, and Nikolaos Aletras. 2021 · 2021
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Towards automatic generation of messages countering online hate speech and microaggressions
Mana Ashida and Mamoru Komachi. 2022 · 2022
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APPDIA: A discourse-aware transformer-based style transfer model for offensive social media conversations
Katherine Atwell, Sabit Hassan, and Malihe Alikhani. 2022 · 2022
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Cross-lingual emotion detection
Sabit Hassan, Shaden Shaar, and Kareem Darwish. 2022 · 2022
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Ltp: A new active learning strategy for crf-based named entity recognition
Mingyi Liu, Zhiying Tu, Tong Zhang, Tonghua Su, Xiaofei Xu, and Zhongjie Wang. 2022 · 2022
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On the importance of effectively adapting pretrained language models for active learning
Katerina Margatina, Loic Barrault, and Nikolaos Aletras. 2022 · 2022
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Multi-task active learning for pre-trained transformer-based models
Guy Rotman and Roi Reichart. 2022 · 2022
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A survey of active learning for natural language processing
Zhisong Zhang, Emma Strubell, and Eduard Hovy. 2022 · 2022
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Multilingual content moderation: A case study on Reddit
Meng Ye, Karan Sikka, Katherine Atwell, Sabit Hassan, Ajay Divakaran, and Malihe Alikhani. 2023 · 2023
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