Margaret Mitchell

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 59

Top Venues

University of Aberdeen, UK (PHD)

Education History

University of Aberdeen, UK

PHD

Publications

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 (2024)
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 (2024)
Manisha Singh, Divy Sharma, Alonso Ma, Bridget Tyree, Margaret Mitchell
Constructing the CORD-19 Vaccine Dataset. CoRR (2024)
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)
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 (2023)
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 (2023)
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 (2023)
Alexandra Sasha Luccioni, Christopher Akiki, Margaret Mitchell, Yacine Jernite
Stable Bias: Analyzing Societal Representations in Diffusion Models. CoRR (2023)
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)
Sasha Luccioni, Christopher Akiki, Margaret Mitchell, Yacine Jernite
Stable Bias: Evaluating Societal Representations in Diffusion Models. NeurIPS (2023)
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 (2022)
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 (2022)
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 (2022)
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 (2022)
Vinodkumar Prabhakaran, Margaret Mitchell, Timnit Gebru, Iason Gabriel
A Human Rights-Based Approach to Responsible AI. CoRR (2022)
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)
Nazneen Rajani, Weixin Liang, Lingjiao Chen, Margaret Mitchell, James Zou
SEAL: Interactive Tool for Systematic Error Analysis and Labeling. EMNLP (Demos) (2022)
Yacine Jernite, Huu Nguyen, Stella Biderman, Anna Rogers, Maraim Masoud, Valentin Danchev, Samson Tan, Alexandra Sasha Luccioni, Nishant Subramani, Isaac Johnson, Gerard 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)
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 (2022)
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)
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)
Osman Aka, Ken Burke, Alex Bäuerle, Christina Greer, Margaret Mitchell
Measuring Model Biases in the Absence of Ground Truth. AIES (2021)
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)
Osman Aka, Ken Burke, Alex Bäuerle, Christina Greer, Margaret Mitchell
Measuring Model Biases in the Absence of Ground Truth. CoRR (2021)
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 (2020)
Margaret Mitchell, Dylan Baker, Nyalleng Moorosi, Emily Denton, Ben Hutchinson, Alex Hanna, Timnit Gebru, Jamie Morgenstern
Diversity and Inclusion Metrics in Subset Selection. AIES (2020)
Inioluwa Deborah Raji, Timnit Gebru, Margaret Mitchell, Joy Buolamwini, Joonseok Lee, Emily Denton
Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing. CoRR (2020)
Margaret Mitchell, Dylan Baker, Nyalleng Moorosi, Emily Denton, Ben Hutchinson, Alex Hanna, Timnit Gebru, Jamie Morgenstern
Diversity and Inclusion Metrics in Subset Selection. CoRR (2020)
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 (2020)
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)
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)
Vinodkumar Prabhakaran, Ben Hutchinson, Margaret Mitchell
Perturbation Sensitivity Analysis to Detect Unintended Model Biases. EMNLP/IJCNLP (1) (2019)
Sarah Bird, Ben Hutchinson, Krishnaram Kenthapadi, Emre Kiciman, Margaret Mitchell
Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned. KDD (2019)
Ben Hutchinson, K. J. Pittl, Margaret Mitchell
Interpreting Social Respect: A Normative Lens for ML Models. CoRR (2019)
Sarah Bird, Krishnaram Kenthapadi, Emre Kiciman, Margaret Mitchell
Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned. WSDM (2019)
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)
Sarah Bird, Ben Hutchinson, Krishnaram Kenthapadi, Emre Kiciman, Margaret Mitchell
Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned. WWW (Companion Volume) (2019)
Ben Hutchinson, Margaret Mitchell
50 Years of Test (Un)fairness: Lessons for Machine Learning. FAT (2019)
Vinodkumar Prabhakaran, Ben Hutchinson, Margaret Mitchell
Perturbation Sensitivity Analysis to Detect Unintended Model Biases. CoRR (2019)
Emily Denton, Ben Hutchinson, Margaret Mitchell, Timnit Gebru
Detecting Bias with Generative Counterfactual Face Attribute Augmentation. CoRR (2019)
Brian Hu Zhang, Blake Lemoine, Margaret Mitchell
Mitigating Unwanted Biases with Adversarial Learning. AIES (2018)
Ben Hutchinson, Margaret Mitchell
50 Years of Test (Un)fairness: Lessons for Machine Learning. CoRR (2018)
Brian Hu Zhang, Blake Lemoine, Margaret Mitchell
Mitigating Unwanted Biases with Adversarial Learning. CoRR (2018)
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 (2018)
Margaret Mitchell, John C. Platt, Kate Saenko
Guest Editorial: Image and Language Understanding. Int. J. Comput. Vis. 123 (1) (2017)
Adrian Benton, Margaret Mitchell, Dirk Hovy
Multitask Learning for Mental Health Conditions with Limited Social Media Data. EACL (1) (2017)
Adrian Benton, Margaret Mitchell, Dirk Hovy
Multi-Task Learning for Mental Health using Social Media Text. CoRR (2017)
Hee Jung Ryu, Margaret Mitchell, Hartwig Adam
Improving Smiling Detection with Race and Gender Diversity. CoRR (2017)
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) (2017)
Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, Margaret Mitchell, Xiaodong He, Lucy Vanderwende
Generating Natural Questions About an Image. ACL (1) (2016)
Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, Larry Zitnick, Margaret Mitchell, Xiaodong He, Lucy Vanderwende
Generating Natural Questions About an Image. CoRR (2016)
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)
Rasool Fakoor, Abdel-rahman Mohamed, Margaret Mitchell, Sing Bing Kang, Pushmeet Kohli
Memory-augmented Attention Modelling for Videos. CoRR (2016)
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 (2016)
C. Lawrence Zitnick, Aishwarya Agrawal, Stanislaw Antol, Margaret Mitchell, Dhruv Batra, Devi Parikh
Measuring Machine Intelligence Through Visual Question Answering. AI Mag. 37 (1) (2016)
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)
C. Lawrence Zitnick, Aishwarya Agrawal, Stanislaw Antol, Margaret Mitchell, Dhruv Batra, Devi Parikh
Measuring Machine Intelligence Through Visual Question Answering. CoRR (2016)
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)
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) (2016)
Margaret Mitchell, Kristy Hollingshead, Glen Coppersmith
Quantifying the Language of Schizophrenia in Social Media. CLPsych@HLT-NAACL (2015)
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 (2015)
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)
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)
Ishan Misra, C. Lawrence Zitnick, Margaret Mitchell, Ross B. Girshick
Learning Visual Classifiers using Human-centric Annotations. CoRR (2015)
Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh
VQA: Visual Question Answering. CoRR (2015)
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)
Jacob Devlin, Saurabh Gupta, Ross B. Girshick, Margaret Mitchell, C. Lawrence Zitnick
Exploring Nearest Neighbor Approaches for Image Captioning. CoRR (2015)
Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh
VQA: Visual Question Answering. ICCV (2015)
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 (2015)
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 (2015)
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 (2015)
Glen Coppersmith, Mark Dredze, Craig Harman, Kristy Hollingshead, Margaret Mitchell
CLPsych 2015 Shared Task: Depression and PTSD on Twitter. CLPsych@HLT-NAACL (2015)
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)
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)
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 (2014)
Matthew R. Gormley, Margaret Mitchell, Benjamin Van Durme, Mark Dredze
Low-Resource Semantic Role Labeling. ACL (1) (2014)
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)
Margaret Mitchell, Dan Bohus, Ece Kamar
Crowdsourcing Language Generation Templates for Dialogue Systems. INLG (2014)
Margaret Mitchell, Jacqui Aguilar, Theresa Wilson, Benjamin Van Durme
Open Domain Targeted Sentiment. EMNLP (2013)
Margaret Mitchell, Ehud Reiter, Kees van Deemter
Typicality and Object Reference. CogSci (2013)
Jette Viethen, Margaret Mitchell, Emiel Krahmer
Graphs and Spatial Relations in the Generation of Referring Expressions. ENLG (2013)
Margaret Mitchell
Overview of the TAC2013 Knowledge Base Population Evaluation: English Sentiment Slot Filling. TAC (2013)
Margaret Mitchell, Kees van Deemter, Ehud Reiter
Generating Expressions that Refer to Visible Objects. HLT-NAACL (2013)
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)
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)
Margaret Mitchell, Xufeng Han, Jeff Hayes
Midge: Generating Descriptions of Images. INLG (2012)
Margaret Mitchell, Richard Sproat
Discourse-Based Modeling for AAC. SLPAT@HLT-NAACL (2012)
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)
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) (2011)
Margaret Mitchell, Aaron Dunlop, Brian Roark
Semi-Supervised Modeling for Prenominal Modifier Ordering. ACL (2) (2011)
Margaret Mitchell, Kees van Deemter, Ehud Reiter
Two Approaches for Generating Size Modifiers. ENLG (2011)
Margaret Mitchell, Kees van Deemter, Ehud Reiter
On the Use of Size Modifiers When Referring to Visible Objects. CogSci (2011)
Aaron Dunlop, Margaret Mitchell, Brian Roark
Prenominal Modifier Ordering via Multiple Sequence Alignment. HLT-NAACL (2010)
Margaret Mitchell, Kees van Deemter, Ehud Reiter
Natural Reference to Objects in a Visual Domain. INLG (2010)
Margaret Mitchell
A Flexible Approach to Class-Based Ordering of Prenominal Modifiers. Empirical Methods in Natural Language Generation (2010)
Margaret Mitchell
Class-Based Ordering of Prenominal Modifiers. ENLG (2009)
Brian Roark, Margaret Mitchell, Kristy Hollingshead
Syntactic complexity measures for detecting Mild Cognitive Impairment. BioNLP@ACL (2007)
Margaret Mitchell
Creating Minimal Vertex Series Parallel Graphs from Directed Acyclic Graphs. InVis.au (2004)
Margaret Mitchell
Use of Directed Acyclic Graph Analysis in Generating Instructions for Multiple Users. InVis.au (2001)
Margaret Mitchell
Use of Series Parallel Digraph Analysis in Generating Instructions for Multiple Users. VIP (2000)

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Publication Activity (10 Years)

Top Topics

Top Venues

Margaret Mitchell