BYU Applied Machine Learning Laboratory
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Paul Felt
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Publications
An Analytic and Empirical Evaluation of Return-on-Investment-BasedActive Learning
Early Gains Matter: {A} Case for Preferring Generative over DiscriminativeCrowdsourcing Models
Evaluating Lemmatization Models for Machine-Assisted Corpus-DictionaryLinkage
Evaluating machine-assisted annotation in under-resourced settings
Evaluating machine-assisted annotation in under-resourced settings
Fast Inference for Interactive Models of Text
First Results in a Study Evaluating Pre-annotation and CorrectionPropagation for Machine-Assisted Syriac Morphological Analysis
Making the Most of Crowdsourced Document Annotations: Confused Supervised{LDA}
Momresp: {A} Bayesian Model for Multi-Annotator Document Labeling
Semantic Annotation Aggregation with Conditional Crowdsourcing Modelsand Word Embeddings
Tag Dictionaries Accelerate Manual Annotation
Using Transfer Learning to Assist Exploratory Corpus Annotation
{CCASH:} {A} Web Application Framework for Efficient, DistributedLanguage Resource Development
Projects