Christopher Homan
22 papers · 2015–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (10) π Interdisciplinary Bridge π Conference Polyglot (9) π§ Keyword Pioneer π Cross-Pollinator (6)
π
Cross-Pollinator
(6)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(29)
π₯
Mega-Team
(36)
π₯
Unstoppable
(6)
π
Trend Setter
π
Conference Pioneer
π
Century Club
(21)
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(78)
Conferences
ACL (6)
EMNLP (4)
NAACL (3)
COLING (2)
INTERSPEECH (2)
AACL (1)
EACL (1)
IJCNLP (1)
NIPS (1)
SEMEVAL (1)
Top co-authors
Keywords
machine translation
(4)
low-resource language
(4)
psycholinguistic feature
(3)
logistic regression
(3)
natural language processing
(2)
parallel corpus
(2)
feature extraction
(2)
multilingual model
(2)
word frequency
(2)
annotation disagreement
(2)
part-of-speech tagging
(2)
conversational ai
(2)
text classification
(2)
neural machine translation
(2)
lexical complexity
(2)
automatic speech recognition
(2)
multilingual translation
(1)
grammatical error correction
(1)
data augmentation
(1)
bias detection
(1)
Papers
Grammatical Error Correction for Low-Resource Languages: The Case of Zarma
EACL 2026
SMOL: Professionally Translated Parallel Data for 115 Under-represented Languages
EMNLP 2025
Leveraging Speech Data Diversity to Document Indigenous Heritage and Culture
INTERSPEECH 2024
Feriji: A French-Zarma Parallel Corpus, Glossary & Translator
ACL 2024
Intersectionality in AI Safety: Using Multilevel Models to Understand Diverse Perceptions of Safety in Conversational AI
COLING 2024
GRASP: A Disagreement Analysis Framework to Assess Group Associations in Perspectives
NAACL 2024
DICES Dataset: Diversity in Conversational AI Evaluation for Safety
NIPS 2023
Subjective Crowd Disagreements for Subjective Data: Uncovering Meaningful CrowdOpinion with Population-level Learning
ACL 2023
Follow the leader(board) with confidence: Estimating p-values from a single test set with item and response variance
ACL 2023
Disagreement Matters: Preserving Label Diversity by Jointly Modeling Item and Annotator Label Distributions with DisCo
ACL 2023
Vicarious Offense and Noise Audit of Offensive Speech Classifiers: Unifying Human and Machine Disagreement on What is Offensive
EMNLP 2023
Combining Simple but Novel Data Augmentation Methods for Improving Conformer ASR
INTERSPEECH 2022
Findings of the 2021 Conference on Machine Translation (WMT21)
EMNLP 2021
LCP-RIT at SemEval-2021 Task 1: Exploring Linguistic Features for Lexical Complexity Prediction
IJCNLP 2021
LCP-RIT at SemEval-2021 Task 1: Exploring Linguistic Features for Lexical Complexity Prediction
ACL 2021
LCP-RIT at SemEval-2021 Task 1: Exploring Linguistic Features for Lexical Complexity Prediction
SEMEVAL 2021
Neural Machine Translation for Extremely Low-Resource African Languages: A Case Study on Bambara
AACL 2020
Sensing and Learning Human Annotators Engaged in Narrative Sensemaking
NAACL 2018
Analyzing Gender Bias in Student Evaluations
COLING 2016
Understanding Discourse on Work and Job-Related Well-Being in Public Social Media
ACL 2016
An Analysis of Domestic Abuse Discourse on Reddit
EMNLP 2015
#WhyIStayed, #WhyILeft: Microblogging to Make Sense of Domestic Abuse
NAACL 2015