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2020 – today
- 2024
[i39]Giada Pistilli, Alina Leidinger, Yacine Jernite, Atoosa Kasirzadeh, Alexandra Sasha Luccioni, Margaret Mitchell:
CIVICS: Building a Dataset for Examining Culturally-Informed Values in Large Language Models. CoRR abs/2405.13974 (2024)- [i38]Guilherme Penedo, Hynek Kydlícek, Loubna Ben Allal, Anton Lozhkov, Margaret Mitchell, Colin Raffel, Leandro von Werra, Thomas Wolf:
The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale. CoRR abs/2406.17557 (2024) - [i37]Manisha Singh, Divy Sharma, Alonso Ma, Bridget Tyree, Margaret Mitchell:
Constructing the CORD-19 Vaccine Dataset. CoRR abs/2407.18471 (2024) - 2023
- [j7]Denis Kocetkov, Raymond Li, Loubna Ben Allal, Jia Li, Chenghao Mou, Yacine Jernite, Margaret Mitchell, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Dzmitry Bahdanau, Leandro von Werra, Harm de Vries:
The Stack: 3 TB of permissively licensed source code. Trans. Mach. Learn. Res. 2023 (2023) - [c54]Giada Pistilli
, Carlos Muñoz Ferrandis, Yacine Jernite, Margaret Mitchell:
Stronger Together: on the Articulation of Ethical Charters, Legal Tools, and Technical Documentation in ML. FAccT 2023: 343-354 - [c53]Sasha Luccioni, Christopher Akiki, Margaret Mitchell, Yacine Jernite:
Stable Bias: Evaluating Societal Representations in Diffusion Models. NeurIPS 2023 - [i36]Hugo Laurençon, Lucile Saulnier, Thomas Wang, Christopher Akiki, Albert Villanova del Moral, Teven Le Scao, Leandro von Werra, Chenghao Mou, Eduardo González Ponferrada, Huu Nguyen, Jörg Frohberg, Mario Sasko, Quentin Lhoest, Angelina McMillan-Major, Gérard Dupont, Stella Biderman, Anna Rogers, Loubna Ben Allal, Francesco De Toni, Giada Pistilli, Olivier Nguyen, Somaieh Nikpoor, Maraim Masoud, Pierre Colombo, Javier de la Rosa, Paulo Villegas, Tristan Thrush, Shayne Longpre, Sebastian Nagel, Leon Weber, Manuel Muñoz, Jian Zhu, Daniel van Strien, Zaid Alyafeai, Khalid Almubarak, Minh Chien Vu, Itziar Gonzalez-Dios, Aitor Soroa, Kyle Lo, Manan Dey, Pedro Ortiz Suarez, Aaron Gokaslan, Shamik Bose, David Ifeoluwa Adelani, Long Phan, Hieu Tran, Ian Yu, Suhas Pai, Jenny Chim, Violette Lepercq, Suzana Ilic, Margaret Mitchell, Sasha Luccioni, Yacine Jernite:
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset. CoRR abs/2303.03915 (2023) - [i35]Alexandra Sasha Luccioni, Christopher Akiki, Margaret Mitchell, Yacine Jernite:
Stable Bias: Analyzing Societal Representations in Diffusion Models. CoRR abs/2303.11408 (2023) - [i34]Giada Pistilli, Carlos Muñoz Ferrandis, Yacine Jernite, Margaret Mitchell:
Stronger Together: on the Articulation of Ethical Charters, Legal Tools, and Technical Documentation in ML. CoRR abs/2305.18615 (2023) - [i33]Irene Solaiman, Zeerak Talat, William Agnew, Lama Ahmad, Dylan K. Baker, Su Lin Blodgett, Hal Daumé III, Jesse Dodge, Ellie Evans, Sara Hooker, Yacine Jernite, Alexandra Sasha Luccioni, Alberto Lusoli, Margaret Mitchell, Jessica Newman, Marie-Therese Png, Andrew Strait, Apostol Vassilev:
Evaluating the Social Impact of Generative AI Systems in Systems and Society. CoRR abs/2306.05949 (2023) - 2022
- [j6]Thomas C. Tsai, Sercan Ö. Arik, Benjamin H. Jacobson, Jinsung Yoon, Nate Yoder, Dario Sava, Margaret Mitchell, Garth Graham, Tomas Pfister:
Algorithmic fairness in pandemic forecasting: lessons from COVID-19. npj Digit. Medicine 5 (2022) - [c52]Nazneen Rajani, Weixin Liang, Lingjiao Chen, Margaret Mitchell, James Zou:
SEAL: Interactive Tool for Systematic Error Analysis and Labeling. EMNLP (Demos) 2022: 359-370 - [c51]Yacine Jernite, Huu Nguyen, Stella Biderman, Anna Rogers, Maraim Masoud, Valentin Danchev, Samson Tan, Alexandra Sasha Luccioni, Nishant Subramani, Isaac Johnson, Gérard Dupont, Jesse Dodge, Kyle Lo, Zeerak Talat, Dragomir R. Radev, Aaron Gokaslan, Somaieh Nikpoor, Peter Henderson, Rishi Bommasani, Margaret Mitchell:
Data Governance in the Age of Large-Scale Data-Driven Language Technology. FAccT 2022: 2206-2222 - [c50]Hugo Laurençon, Lucile Saulnier, Thomas Wang, Christopher Akiki, Albert Villanova del Moral, Teven Le Scao, Leandro von Werra, Chenghao Mou, Eduardo González Ponferrada, Huu Nguyen, Jörg Frohberg, Mario Sasko, Quentin Lhoest, Angelina McMillan-Major, Gérard Dupont, Stella Biderman, Anna Rogers, Loubna Ben Allal, Francesco De Toni, Giada Pistilli, Olivier Nguyen, Somaieh Nikpoor, Maraim Masoud, Pierre Colombo, Javier de la Rosa, Paulo Villegas, Tristan Thrush, Shayne Longpre, Sebastian Nagel, Leon Weber, Manuel Muñoz, Jian Zhu, Daniel van Strien, Zaid Alyafeai, Khalid Almubarak, Minh Chien Vu, Itziar Gonzalez-Dios, Aitor Soroa, Kyle Lo, Manan Dey, Pedro Ortiz Suarez, Aaron Gokaslan, Shamik Bose, David Ifeoluwa Adelani, Long Phan, Hieu Tran, Ian Yu, Suhas Pai, Jenny Chim, Violette Lepercq, Suzana Ilic, Margaret Mitchell, Alexandra Sasha Luccioni, Yacine Jernite:
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset. NeurIPS 2022 - [i32]Yacine Jernite, Huu Nguyen, Stella Biderman, Anna Rogers, Maraim Masoud, Valentin Danchev, Samson Tan, Alexandra Sasha Luccioni, Nishant Subramani, Gérard Dupont, Jesse Dodge, Kyle Lo, Zeerak Talat, Isaac Johnson, Dragomir R. Radev, Somaieh Nikpoor, Jörg Frohberg, Aaron Gokaslan, Peter Henderson, Rishi Bommasani, Margaret Mitchell:
Data Governance in the Age of Large-Scale Data-Driven Language Technology. CoRR abs/2206.03216 (2022) - [i31]Leandro von Werra, Lewis Tunstall, Abhishek Thakur, Alexandra Sasha Luccioni, Tristan Thrush, Aleksandra Piktus, Felix Marty, Nazneen Rajani, Victor Mustar, Helen Ngo, Omar Sanseviero, Mario Sasko, Albert Villanova del Moral, Quentin Lhoest, Julien Chaumond, Margaret Mitchell, Alexander M. Rush, Thomas Wolf, Douwe Kiela:
Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements. CoRR abs/2210.01970 (2022) - [i30]Vinodkumar Prabhakaran, Margaret Mitchell, Timnit Gebru, Iason Gabriel:
A Human Rights-Based Approach to Responsible AI. CoRR abs/2210.02667 (2022) - [i29]Teven Le Scao, Angela Fan, Christopher Akiki, Ellie Pavlick, Suzana Ilic, Daniel Hesslow, Roman Castagné, Alexandra Sasha Luccioni, François Yvon, Matthias Gallé, Jonathan Tow, Alexander M. Rush, Stella Biderman, Albert Webson, Pawan Sasanka Ammanamanchi, Thomas Wang, Benoît Sagot, Niklas Muennighoff, Albert Villanova del Moral, Olatunji Ruwase, Rachel Bawden, Stas Bekman, Angelina McMillan-Major, Iz Beltagy, Huu Nguyen, Lucile Saulnier, Samson Tan, Pedro Ortiz Suarez, Victor Sanh, Hugo Laurençon, Yacine Jernite, Julien Launay, Margaret Mitchell, Colin Raffel, Aaron Gokaslan, Adi Simhi, Aitor Soroa, Alham Fikri Aji, Amit Alfassy, Anna Rogers, Ariel Kreisberg Nitzav, Canwen Xu, Chenghao Mou, Chris Emezue, Christopher Klamm, Colin Leong, Daniel van Strien, David Ifeoluwa Adelani, et al.:
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model. CoRR abs/2211.05100 (2022) - [i28]Denis Kocetkov, Raymond Li, Loubna Ben Allal, Jia Li, Chenghao Mou, Carlos Muñoz Ferrandis, Yacine Jernite, Margaret Mitchell, Sean Hughes, Thomas Wolf, Dzmitry Bahdanau, Leandro von Werra, Harm de Vries:
The Stack: 3 TB of permissively licensed source code. CoRR abs/2211.15533 (2022) - [i27]Margaret Mitchell, Alexandra Sasha Luccioni, Nathan Lambert, Marissa Gerchick, Angelina McMillan-Major, Ezinwanne Ozoani, Nazneen Rajani, Tristan Thrush, Yacine Jernite, Douwe Kiela:
Measuring Data. CoRR abs/2212.05129 (2022) - 2021
- [c49]Osman Aka, Ken Burke, Alex Bäuerle, Christina Greer, Margaret Mitchell:
Measuring Model Biases in the Absence of Ground Truth. AIES 2021: 327-335 - [c48]Jesse Dodge, Maarten Sap, Ana Marasovic, William Agnew, Gabriel Ilharco, Dirk Groeneveld, Margaret Mitchell, Matt Gardner:
Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus. EMNLP (1) 2021: 1286-1305 - [c47]Ben Hutchinson, Andrew Smart, Alex Hanna, Emily Denton, Christina Greer, Oddur Kjartansson, Parker Barnes, Margaret Mitchell:
Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure. FAccT 2021: 560-575 - [i26]Osman Aka, Ken Burke, Alex Bäuerle, Christina Greer, Margaret Mitchell:
Measuring Model Biases in the Absence of Ground Truth. CoRR abs/2103.03417 (2021) - 2020
- [c46]Margaret Mitchell, Dylan K. Baker, Nyalleng Moorosi, Emily Denton, Ben Hutchinson, Alex Hanna, Timnit Gebru, Jamie Morgenstern:
Diversity and Inclusion Metrics in Subset Selection. AIES 2020: 117-123 - [c45]Inioluwa Deborah Raji, Timnit Gebru, Margaret Mitchell, Joy Buolamwini, Joonseok Lee, Emily Denton:
Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing. AIES 2020: 145-151 - [c44]Inioluwa Deborah Raji, Andrew Smart, Rebecca N. White, Margaret Mitchell, Timnit Gebru, Ben Hutchinson, Jamila Smith-Loud, Daniel Theron, Parker Barnes:
Closing the AI accountability gap: defining an end-to-end framework for internal algorithmic auditing. FAT* 2020: 33-44 - [i25]Inioluwa Deborah Raji, Timnit Gebru, Margaret Mitchell, Joy Buolamwini, Joonseok Lee, Emily Denton:
Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing. CoRR abs/2001.00964 (2020) - [i24]Inioluwa Deborah Raji, Andrew Smart, Rebecca N. White, Margaret Mitchell, Timnit Gebru, Ben Hutchinson, Jamila Smith-Loud, Daniel Theron, Parker Barnes:
Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing. CoRR abs/2001.00973 (2020) - [i23]Margaret Mitchell, Dylan K. Baker, Nyalleng Moorosi, Emily Denton, Ben Hutchinson, Alex Hanna, Timnit Gebru, Jamie Morgenstern:
Diversity and Inclusion Metrics in Subset Selection. CoRR abs/2002.03256 (2020) - [i22]Ben Hutchinson, Andrew Smart, Alex Hanna, Emily Denton, Christina Greer, Oddur Kjartansson, Parker Barnes, Margaret Mitchell:
Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure. CoRR abs/2010.13561 (2020)
2010 – 2019
- 2019
- [c43]Vinodkumar Prabhakaran, Ben Hutchinson, Margaret Mitchell:
Perturbation Sensitivity Analysis to Detect Unintended Model Biases. EMNLP/IJCNLP (1) 2019: 5739-5744 - [c42]Ben Hutchinson, Margaret Mitchell:
50 Years of Test (Un)fairness: Lessons for Machine Learning. FAT 2019: 49-58 - [c41]Margaret Mitchell, Simone Wu, Andrew Zaldivar, Parker Barnes, Lucy Vasserman, Ben Hutchinson, Elena Spitzer, Inioluwa Deborah Raji, Timnit Gebru:
Model Cards for Model Reporting. FAT 2019: 220-229 - [c40]Sarah Bird, Ben Hutchinson, Krishnaram Kenthapadi, Emre Kiciman, Margaret Mitchell:
Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned. KDD 2019: 3205-3206 - [c39]Sarah Bird, Krishnaram Kenthapadi, Emre Kiciman, Margaret Mitchell:
Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned. WSDM 2019: 834-835 - [c38]Sarah Bird, Ben Hutchinson, Krishnaram Kenthapadi, Emre Kiciman, Margaret Mitchell:
Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned. WWW (Companion Volume) 2019: 1297-1298 - [i21]Emily Denton, Ben Hutchinson, Margaret Mitchell, Timnit Gebru:
Detecting Bias with Generative Counterfactual Face Attribute Augmentation. CoRR abs/1906.06439 (2019) - [i20]Ben Hutchinson, K. J. Pittl, Margaret Mitchell:
Interpreting Social Respect: A Normative Lens for ML Models. CoRR abs/1908.07336 (2019) - [i19]Vinodkumar Prabhakaran, Ben Hutchinson, Margaret Mitchell:
Perturbation Sensitivity Analysis to Detect Unintended Model Biases. CoRR abs/1910.04210 (2019) - 2018
- [c37]Brian Hu Zhang, Blake Lemoine, Margaret Mitchell:
Mitigating Unwanted Biases with Adversarial Learning. AIES 2018: 335-340 - [e5]Mark Alfano, Dirk Hovy, Margaret Mitchell, Michael Strube:
Proceedings of the Second ACL Workshop on Ethics in Natural Language Processing, EthNLP@NAACL-HLT 2018, New Orleans, Louisiana, USA, June 5, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-14-8 [contents] - [i18]Brian Hu Zhang, Blake Lemoine, Margaret Mitchell:
Mitigating Unwanted Biases with Adversarial Learning. CoRR abs/1801.07593 (2018) - [i17]Margaret Mitchell, Simone Wu, Andrew Zaldivar, Parker Barnes, Lucy Vasserman, Ben Hutchinson, Elena Spitzer, Inioluwa Deborah Raji, Timnit Gebru:
Model Cards for Model Reporting. CoRR abs/1810.03993 (2018) - [i16]Ben Hutchinson, Margaret Mitchell:
50 Years of Test (Un)fairness: Lessons for Machine Learning. CoRR abs/1811.10104 (2018) - 2017
- [j5]Margaret Mitchell, John C. Platt, Kate Saenko:
Guest Editorial: Image and Language Understanding. Int. J. Comput. Vis. 123(1): 1-3 (2017) - [j4]Aishwarya Agrawal, Jiasen Lu, Stanislaw Antol, Margaret Mitchell, C. Lawrence Zitnick, Devi Parikh, Dhruv Batra:
VQA: Visual Question Answering - www.visualqa.org. Int. J. Comput. Vis. 123(1): 4-31 (2017) - [c36]Adrian Benton, Margaret Mitchell, Dirk Hovy:
Multitask Learning for Mental Health Conditions with Limited Social Media Data. EACL (1) 2017: 152-162 - [e4]Dirk Hovy, Shannon L. Spruit, Margaret Mitchell, Emily M. Bender, Michael Strube, Hanna M. Wallach:
Proceedings of the First ACL Workshop on Ethics in Natural Language Processing, EthNLP@EACL, Valencia, Spain, April 4, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-47-0 [contents] - [i15]Hee Jung Ryu, Margaret Mitchell, Hartwig Adam:
Improving Smiling Detection with Race and Gender Diversity. CoRR abs/1712.00193 (2017) - [i14]Adrian Benton, Margaret Mitchell, Dirk Hovy:
Multi-Task Learning for Mental Health using Social Media Text. CoRR abs/1712.03538 (2017) - 2016
- [j3]C. Lawrence Zitnick, Aishwarya Agrawal, Stanislaw Antol, Margaret Mitchell, Dhruv Batra, Devi Parikh:
Measuring Machine Intelligence Through Visual Question Answering. AI Mag. 37(1): 63-72 (2016) - [j2]Vicente Ordonez, Xufeng Han, Polina Kuznetsova, Girish Kulkarni, Margaret Mitchell, Kota Yamaguchi, Karl Stratos, Amit Goyal, Jesse Dodge, Alyssa C. Mensch, Hal Daumé III, Alexander C. Berg, Yejin Choi, Tamara L. Berg:
Large Scale Retrieval and Generation of Image Descriptions. Int. J. Comput. Vis. 119(1): 46-59 (2016) - [c35]Rebecca Mason, Benjamin Gaska, Benjamin Van Durme, Pallavi Choudhury, Ted Hart, Bill Dolan, Kristina Toutanova, Margaret Mitchell:
Microsummarization of Online Reviews: An Experimental Study. AAAI 2016: 3015-3021 - [c34]Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, Margaret Mitchell, Xiaodong He, Lucy Vanderwende:
Generating Natural Questions About an Image. ACL (1) 2016 - [c33]Ishan Misra, C. Lawrence Zitnick, Margaret Mitchell, Ross B. Girshick:
Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels. CVPR 2016: 2930-2939 - [c32]Ting-Hao (Kenneth) Huang, Francis Ferraro, Nasrin Mostafazadeh, Ishan Misra, Aishwarya Agrawal, Jacob Devlin, Ross B. Girshick, Xiaodong He, Pushmeet Kohli, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh, Lucy Vanderwende, Michel Galley, Margaret Mitchell:
Visual Storytelling. HLT-NAACL 2016: 1233-1239 - [i13]Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, Larry Zitnick, Margaret Mitchell, Xiaodong He, Lucy Vanderwende:
Generating Natural Questions About an Image. CoRR abs/1603.06059 (2016) - [i12]Ting-Hao (Kenneth) Huang, Francis Ferraro, Nasrin Mostafazadeh, Ishan Misra, Aishwarya Agrawal, Jacob Devlin, Ross B. Girshick, Xiaodong He, Pushmeet Kohli, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh, Lucy Vanderwende, Michel Galley, Margaret Mitchell:
Visual Storytelling. CoRR abs/1604.03968 (2016) - [i11]C. Lawrence Zitnick, Aishwarya Agrawal, Stanislaw Antol, Margaret Mitchell, Dhruv Batra, Devi Parikh:
Measuring Machine Intelligence Through Visual Question Answering. CoRR abs/1608.08716 (2016) - [i10]Rasool Fakoor, Abdel-rahman Mohamed, Margaret Mitchell, Sing Bing Kang, Pushmeet Kohli:
Memory-augmented Attention Modelling for Videos. CoRR abs/1611.02261 (2016) - 2015
- [c31]Jacob Devlin, Hao Cheng, Hao Fang, Saurabh Gupta, Li Deng, Xiaodong He, Geoffrey Zweig, Margaret Mitchell:
Language Models for Image Captioning: The Quirks and What Works. ACL (2) 2015: 100-105 - [c30]Michel Galley, Chris Brockett, Alessandro Sordoni, Yangfeng Ji, Michael Auli, Chris Quirk, Margaret Mitchell, Jianfeng Gao, Bill Dolan:
deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets. ACL (2) 2015: 445-450 - [c29]Hao Fang, Saurabh Gupta, Forrest N. Iandola, Rupesh Kumar Srivastava, Li Deng, Piotr Dollár, Jianfeng Gao, Xiaodong He, Margaret Mitchell, John C. Platt, C. Lawrence Zitnick, Geoffrey Zweig:
From captions to visual concepts and back. CVPR 2015: 1473-1482 - [c28]Francis Ferraro, Nasrin Mostafazadeh, Ting-Hao (Kenneth) Huang, Lucy Vanderwende, Jacob Devlin, Michel Galley, Margaret Mitchell:
A Survey of Current Datasets for Vision and Language Research. EMNLP 2015: 207-213 - [c27]Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh:
VQA: Visual Question Answering. ICCV 2015: 2425-2433 - [c26]Margaret Mitchell, Kristy Hollingshead, Glen Coppersmith:
Quantifying the Language of Schizophrenia in Social Media. CLPsych@HLT-NAACL 2015: 11-20 - [c25]Glen Coppersmith, Mark Dredze, Craig Harman, Kristy Hollingshead, Margaret Mitchell:
CLPsych 2015 Shared Task: Depression and PTSD on Twitter. CLPsych@HLT-NAACL 2015: 31-39 - [c24]Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett, Yangfeng Ji, Margaret Mitchell, Jian-Yun Nie, Jianfeng Gao, Bill Dolan:
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses. HLT-NAACL 2015: 196-205 - [e3]Margaret Mitchell, Glen Coppersmith, Kristy Hollingshead:
Proceedings of the 2nd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, CLPsych@NAACL-HLT 2015, June 5, 2015, Denver, Colorado, USA. The Association for Computational Linguistics 2015, ISBN 978-1-941643-43-3 [contents] - [i9]Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh:
VQA: Visual Question Answering. CoRR abs/1505.00468 (2015) - [i8]Jacob Devlin, Hao Cheng, Hao Fang, Saurabh Gupta, Li Deng, Xiaodong He, Geoffrey Zweig, Margaret Mitchell:
Language Models for Image Captioning: The Quirks and What Works. CoRR abs/1505.01809 (2015) - [i7]Jacob Devlin, Saurabh Gupta, Ross B. Girshick, Margaret Mitchell, C. Lawrence Zitnick:
Exploring Nearest Neighbor Approaches for Image Captioning. CoRR abs/1505.04467 (2015) - [i6]Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett, Yangfeng Ji, Margaret Mitchell, Jian-Yun Nie, Jianfeng Gao, Bill Dolan:
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses. CoRR abs/1506.06714 (2015) - [i5]Francis Ferraro, Nasrin Mostafazadeh, Ting-Hao (Kenneth) Huang, Lucy Vanderwende, Jacob Devlin, Michel Galley, Margaret Mitchell:
On Available Corpora for Empirical Methods in Vision & Language. CoRR abs/1506.06833 (2015) - [i4]Michel Galley, Chris Brockett, Alessandro Sordoni, Yangfeng Ji, Michael Auli, Chris Quirk, Margaret Mitchell, Jianfeng Gao, Bill Dolan:
deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets. CoRR abs/1506.06863 (2015) - [i3]Ishan Misra, C. Lawrence Zitnick, Margaret Mitchell, Ross B. Girshick:
Learning Visual Classifiers using Human-centric Annotations. CoRR abs/1512.06974 (2015) - 2014
- [c23]Charley Beller, Rebecca Knowles, Craig Harman, Shane Bergsma, Margaret Mitchell, Benjamin Van Durme:
I'm a Belieber: Social Roles via Self-identification and Conceptual Attributes. ACL (2) 2014: 181-186 - [c22]Matthew R. Gormley, Margaret Mitchell, Benjamin Van Durme, Mark Dredze:
Low-Resource Semantic Role Labeling. ACL (1) 2014: 1177-1187 - [c21]Margaret Mitchell, Dan Bohus, Ece Kamar:
Crowdsourcing Language Generation Templates for Dialogue Systems. INLG 2014: 16-24 - [e2]Philip Resnik, Rebecca Resnik, Margaret Mitchell:
Proceedings of the Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, CLPsych@ACL 2014, Baltimore, Maryland, USA, June 27, 2004. Association for Computational Linguistics 2014, ISBN 978-1-941643-16-7 [contents] - [e1]Margaret Mitchell, Kathleen F. McCoy, David D. McDonald, Aoife Cahill:
INLG 2014 - Proceedings of the Eighth International Natural Language Generation Conference, Including Proceedings of the INLG and SIGDIAL 2014 Joint Session, 19-21 June 2014, Philadelphia, PA, USA. The Association for Computer Linguistics 2014, ISBN 978-1-941643-22-8 [contents] - [i2]Hao Fang, Saurabh Gupta, Forrest N. Iandola, Rupesh Kumar Srivastava, Li Deng, Piotr Dollár, Jianfeng Gao, Xiaodong He, Margaret Mitchell, John C. Platt, C. Lawrence Zitnick, Geoffrey Zweig:
From Captions to Visual Concepts and Back. CoRR abs/1411.4952 (2014) - 2013
- [b1]Margaret Mitchell:
Generating reference to visible objects. University of Aberdeen, UK, 2013 - [c20]Margaret Mitchell, Ehud Reiter, Kees van Deemter:
Typicality and Object Reference. CogSci 2013 - [c19]Margaret Mitchell, Jacqui Aguilar, Theresa Wilson, Benjamin Van Durme:
Open Domain Targeted Sentiment. EMNLP 2013: 1643-1654 - [c18]Jette Viethen, Margaret Mitchell, Emiel Krahmer:
Graphs and Spatial Relations in the Generation of Referring Expressions. ENLG 2013: 72-81 - [c17]Margaret Mitchell, Kees van Deemter, Ehud Reiter:
Generating Expressions that Refer to Visible Objects. HLT-NAACL 2013: 1174-1184 - [i1]Margaret Mitchell:
Overview of the TAC2013 Knowledge Base Population Evaluation: English Sentiment Slot Filling. TAC 2013 - 2012
- [c16]Alexander C. Berg, Tamara L. Berg, Hal Daumé III, Jesse Dodge, Amit Goyal, Xufeng Han, Alyssa C. Mensch, Margaret Mitchell, Aneesh Sood, Karl Stratos, Kota Yamaguchi:
Understanding and predicting importance in images. CVPR 2012: 3562-3569 - [c15]Margaret Mitchell, Jesse Dodge, Amit Goyal, Kota Yamaguchi, Karl Stratos, Xufeng Han, Alyssa C. Mensch, Alexander C. Berg, Tamara L. Berg, Hal Daumé III:
Midge: Generating Image Descriptions From Computer Vision Detections. EACL 2012: 747-756 - [c14]Margaret Mitchell, Xufeng Han, Jeff Hayes:
Midge: Generating Descriptions of Images. INLG 2012: 131-133 - [c13]Jesse Dodge, Amit Goyal, Xufeng Han, Alyssa C. Mensch, Margaret Mitchell, Karl Stratos, Kota Yamaguchi, Yejin Choi, Hal Daumé III, Alexander C. Berg, Tamara L. Berg:
Detecting Visual Text. HLT-NAACL 2012: 762-772 - [c12]Margaret Mitchell, Richard Sproat:
Discourse-Based Modeling for AAC. SLPAT@HLT-NAACL 2012: 9-18 - 2011
- [j1]Brian Roark, Margaret Mitchell, John-Paul Hosom, Kristy Hollingshead, Jeffrey A. Kaye:
Spoken Language Derived Measures for Detecting Mild Cognitive Impairment. IEEE Trans. Speech Audio Process. 19(7): 2081-2090 (2011) - [c11]Margaret Mitchell, Aaron Dunlop, Brian Roark:
Semi-Supervised Modeling for Prenominal Modifier Ordering. ACL (2) 2011: 236-241 - [c10]Margaret Mitchell, Kees van Deemter, Ehud Reiter:
On the Use of Size Modifiers When Referring to Visible Objects. CogSci 2011 - [c9]Margaret Mitchell, Kees van Deemter, Ehud Reiter:
Two Approaches for Generating Size Modifiers. ENLG 2011: 63-70 - 2010
- [c8]Margaret Mitchell:
A Flexible Approach to Class-Based Ordering of Prenominal Modifiers. Empirical Methods in Natural Language Generation 2010: 141-162 - [c7]Margaret Mitchell, Kees van Deemter, Ehud Reiter:
Natural Reference to Objects in a Visual Domain. INLG 2010 - [c6]Aaron Dunlop, Margaret Mitchell, Brian Roark:
Prenominal Modifier Ordering via Multiple Sequence Alignment. HLT-NAACL 2010: 600-608
2000 – 2009
- 2009
- [c5]Margaret Mitchell:
Class-Based Ordering of Prenominal Modifiers. ENLG 2009: 50-57 - 2007
- [c4]Brian Roark, Margaret Mitchell, Kristy Hollingshead:
Syntactic complexity measures for detecting Mild Cognitive Impairment. BioNLP@ACL 2007: 1-8 - 2004
- [c3]Margaret Mitchell:
Creating Minimal Vertex Series Parallel Graphs from Directed Acyclic Graphs. InVis.au 2004: 133-139 - 2001
- [c2]Margaret Mitchell:
Use of Directed Acyclic Graph Analysis in Generating Instructions for Multiple Users. InVis.au 2001: 57-62 - 2000
- [c1]Margaret Mitchell:
Use of Series Parallel Digraph Analysis in Generating Instructions for Multiple Users. VIP 2000: 85-86
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-09 13:17 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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the dblp computer science bibliography is funded and supported by:
