Christopher Homan

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 26

Top Topics

Clinically Relevant

Linguistic Features

Machine Translation

Top Venues

NLPerspectives@LREC

Publications

Vinodkumar Prabhakaran, Christopher Homan, Lora Aroyo, Aida Mostafazadeh Davani, Alicia Parrish, Alex S. Taylor, Mark Diaz, Ding Wang, Gregory Serapio-García
GRASP: A Disagreement Analysis Framework to Assess Group Associations in Perspectives. NAACL-HLT (2024)
Mamadou K. Keita, Elysabhete Amadou Ibrahim, Habibatou Abdoulaye Alfari, Christopher Homan
Feriji: A French-Zarma Parallel Corpus, Glossary & Translator. CoRR (2024)
Lora Aroyo, Mark Diaz, Christopher Homan, Vinodkumar Prabhakaran, Alex S. Taylor, Ding Wang
The Reasonable Effectiveness of Diverse Evaluation Data. CoRR (2023)
Tharindu Cyril Weerasooriya, Sarah Luger, Saloni Poddar, Ashiqur R. KhudaBukhsh, Christopher Homan
Subjective Crowd Disagreements for Subjective Data: Uncovering Meaningful CrowdOpinion with Population-level Learning. ACL (1) (2023)
Tharindu Cyril Weerasooriya, Sujan Dutta, Tharindu Ranasinghe, Marcos Zampieri, Christopher Homan, Ashiqur R. KhudaBukhsh
Vicarious Offense and Noise Audit of Offensive Speech Classifiers: Unifying Human and Machine Disagreement on What is Offensive. EMNLP (2023)
Shira Wein, Christopher Homan, Lora Aroyo, Chris Welty
Follow the leader(board) with confidence: Estimating p-values from a single test set with item and response variance. ACL (Findings) (2023)
Vinodkumar Prabhakaran, Christopher Homan, Lora Aroyo, Alicia Parrish, Alex S. Taylor, Mark Díaz, Ding Wang
A Framework to Assess (Dis)agreement Among Diverse Rater Groups. CoRR (2023)
Lora Aroyo, Alex S. Taylor, Mark Díaz, Christopher Homan, Alicia Parrish, Gregory Serapio-García, Vinodkumar Prabhakaran, Ding Wang
DICES Dataset: Diversity in Conversational AI Evaluation for Safety. NeurIPS (2023)
Tharindu Cyril Weerasooriya, Alexander Ororbia, Raj Bhensadadia, Ashiqur R. KhudaBukhsh, Christopher Homan
Disagreement Matters: Preserving Label Diversity by Jointly Modeling Item and Annotator Label Distributions with DisCo. ACL (Findings) (2023)
Ronit Damania, Christopher Homan, Emily Prud'hommeaux
Combining Simple but Novel Data Augmentation Methods for Improving Conformer ASR. INTERSPEECH (2022)
Tharindu Cyril Weerasooriya, Alexander Ororbia, Christopher Homan
Improving Label Quality by Jointly Modeling Items and Annotators. NLPerspectives@LREC (2022)
Christopher Homan, Tharindu Cyril Weerasooriya, Lora Aroyo, Chris Welty
Annotator Response Distributions as a Sampling Frame. NLPerspectives@LREC (2022)
Farhad Akhbardeh, Arkady Arkhangorodsky, Magdalena Biesialska, Ondrej Bojar, Rajen Chatterjee, Vishrav Chaudhary, Marta R. Costa-jussà, Cristina España-Bonet, Angela Fan, Christian Federmann, Markus Freitag, Yvette Graham, Roman Grundkiewicz, Barry Haddow, Leonie Harter, Kenneth Heafield, Christopher Homan, Matthias Huck, Kwabena Amponsah-Kaakyire, Jungo Kasai, Daniel Khashabi, Kevin Knight, Tom Kocmi, Philipp Koehn, Nicholas Lourie, Christof Monz, Makoto Morishita, Masaaki Nagata, Ajay Nagesh, Toshiaki Nakazawa, Matteo Negri, Santanu Pal, Allahsera Auguste Tapo, Marco Turchi, Valentin Vydrin, Marcos Zampieri
Findings of the 2021 Conference on Machine Translation (WMT21). WMT@EMNLP (2021)
Saurabh Sampatrao Gaikwad, Tharindu Ranasinghe, Marcos Zampieri, Christopher Homan
Cross-lingual Offensive Language Identification for Low Resource Languages: The Case of Marathi. RANLP (2021)
Abhinandan Tejalkumar Desai, Kai North, Marcos Zampieri, Christopher Homan
LCP-RIT at SemEval-2021 Task 1: Exploring Linguistic Features for Lexical Complexity Prediction. SemEval@ACL/IJCNLP (2021)
Sarah Luger, Martina Anto-Ocrah, Allahsera Tapo, Christopher Homan, Marcos Zampieri, Michael Leventhal
Health Care Misinformation: an Artificial Intelligence Challenge for Low-resource languages. AI4SG@AAAI Fall Symposium (2020)
Mike Schaekermann, Christopher Homan, Lora Aroyo, Praveen K. Paritosh, Kurt D. Bollacker, Chris Welty
The AI Bookie - Place Your Bets: Will Machine Learning Outgrow Human Labeling? AI Mag. 41 (4) (2020)
Allahsera Auguste Tapo, Bakary Coulibaly, Sébastien Diarra, Christopher Homan, Julia Kreutzer, Sarah Luger, Arthur Nagashima, Marcos Zampieri, Michael Leventhal
Neural Machine Translation for Extremely Low-Resource African Languages: A Case Study on Bambara. CoRR (2020)
Monali Saraf, Tyrell Roberts, Raymond W. Ptucha, Christopher Homan, Cecilia Ovesdotter Alm
Multimodal Anticipated versus Actual Perceptual Reactions. ICMI (Adjunct) (2019)
Tong Liu, Akash Venkatachalam, Pratik Sanjay Bongale, Christopher Homan
Learning to Predict Population-Level Label Distributions. WWW (Companion Volume) (2019)
Ann Marie White, Linxiao Bai, Christopher Homan, Melanie Funchess, Catherine Cerulli, Amen Ptah, Deepak Pandita, Henry A. Kautz
Does Reciprocal Gratefulness in Twitter Predict Neighborhood Safety?: Comparing 911 Calls Where Users Reside or Use Social Media. ICWSM (2018)
McKenna K. Tornblad, Luke Lapresi, Christopher Homan, Raymond W. Ptucha, Cecilia Ovesdotter Alm
Sensing and Learning Human Annotators Engaged in Narrative Sensemaking. NAACL-HLT (Student Research Workshop) (2018)
Mayuresh Oak, Anil Behera, Titus Thomas, Cecilia Ovesdotter Alm, Emily Prud'hommeaux, Christopher Homan, Raymond W. Ptucha
Generating Clinically Relevant Texts: A Case Study on Life-Changing Events. CLPsych@HLT-NAACL (2016)
Andamlak Terkik, Emily Prud'hommeaux, Cecilia Ovesdotter Alm, Christopher Homan, Scott Franklin
Analyzing Gender Bias in Student Evaluations. COLING (2016)
Tong Liu, Christopher Homan, Cecilia Ovesdotter Alm, Megan C. Lytle, Ann Marie White, Henry A. Kautz
Understanding Discourse on Work and Job-Related Well-Being in Public Social Media. ACL (1) (2016)
Sang Won Lee, Yiwei Yang, Shiyan Yan, Yujin Zhang, Isabelle Wong, Zhengxi Tan, Miles McGruder, Christopher Homan, Walter S. Lasecki
Creating Interactive Behaviors in Early Sketch by Recording and Remixing Crowd Demonstrations. CoRR (2016)
Nicolas Schrading, Cecilia Ovesdotter Alm, Raymond W. Ptucha, Christopher Homan
#WhyIStayed, #WhyILeft: Microblogging to Make Sense of Domestic Abuse. HLT-NAACL (2015)
Nicolas Schrading, Cecilia Ovesdotter Alm, Ray Ptucha, Christopher Homan
An Analysis of Domestic Abuse Discourse on Reddit. EMNLP (2015)
Christopher Homan, Ravdeep Johar, Tong Liu, Megan C. Lytle-Flint, Vincent Silenzio, Cecilia Ovesdotter Alm
Toward Macro-Insights for Suicide Prevention: Analyzing Fine-Grained Distress at Scale. CLPsych@ACL (2014)
Walter S. Lasecki, Christopher Homan, Jeffrey P. Bigham
Architecting Real-Time Crowd-Powered Systems. Hum. Comput. 1 (1) (2014)
Biru Cui, Shanchieh Jay Yang, Christopher Homan
Non-independent Cascade Formation: Temporal and Spatial Effects. CIKM (2014)
Noah Stupak, Nicholas DiFonzo, Andrew J. Younge, Christopher Homan
SOCIALSENSE: Graphical user interface design considerations for social network experiment software. Comput. Hum. Behav. 26 (3) (2010)
Jason A. Covey, Christopher Homan
A $O(\log m)$, deterministic, polynomial-time computable approximation of Lewis Carroll's scoring rule CoRR (2008)
Christopher Homan, Andrew Pavlo, Jonathan Schull
Smoother Transitions Between Breadth-First-Spanning-Tree-Based Drawings. Graph Drawing (2006)
Andrew Pavlo, Christopher Homan, Jonathan Schull
A parent-centered radial layout algorithm for interactive graph visualization and animation CoRR (2006)