Paul Felt

According to our database, Paul Felt authored at least 14 papers between 2010 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Sampling Adverse Drug Events in Outpatient Clinical Notes for Natural Language Processing Tasks.

Joseph M. Plasek, Abigail Salem, Stuart R. Lipsitz, Mary Amato, Dinah Foer, Heba Edrees, Suzanne V. Blackley, Brett R. South, Amol Rajmane, Mario Lorenzo, Paul Felt, Brendan Bull, Gretchen Purcell Jackson, Henry Feldman, David W. Bates, Li Zhou

Proceedings of the AMIA 2022, 2022

2018

Learning from Measurements in Crowdsourcing Models: Inferring Ground Truth from Diverse Annotation Types.

Paul Felt, Eric K. Ringger, Jordan L. Boyd-Graber, Kevin D. Seppi

Proceedings of the 27th International Conference on Computational Linguistics, 2018

2016

Fast Inference for Interactive Models of Text.

Jeffrey Lund, Paul Felt, Kevin D. Seppi, Eric K. Ringger

Proceedings of the COLING 2016, 2016

Semantic Annotation Aggregation with Conditional Crowdsourcing Models and Word Embeddings.

Paul Felt, Eric K. Ringger, Kevin D. Seppi

Proceedings of the COLING 2016, 2016

2015

Early Gains Matter: A Case for Preferring Generative over Discriminative Crowdsourcing Models.

Paul Felt, Kevin Black, Eric K. Ringger, Kevin D. Seppi, Robbie Haertel

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Making the Most of Crowdsourced Document Annotations: Confused Supervised LDA.

Paul Felt, Eric K. Ringger, Jordan L. Boyd-Graber, Kevin D. Seppi

Proceedings of the 19th Conference on Computational Natural Language Learning, 2015

An Analytic and Empirical Evaluation of Return-on-Investment-Based Active Learning.

Robbie Haertel, Eric K. Ringger, Kevin D. Seppi, Paul Felt

Proceedings of The 9th Linguistic Annotation Workshop, 2015

2014

Evaluating machine-assisted annotation in under-resourced settings.

Paul Felt, Eric K. Ringger, Kevin D. Seppi, Kristian S. Heal, Robbie A. Haertel, Deryle Lonsdale

Lang. Resour. Evaluation, 2014

Using Transfer Learning to Assist Exploratory Corpus Annotation.

Paul Felt, Eric K. Ringger, Kevin D. Seppi, Kristian Heal

Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

Momresp: A Bayesian Model for Multi-Annotator Document Labeling.

Paul Felt, Robbie Haertel, Eric K. Ringger, Kevin D. Seppi

Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

Evaluating Lemmatization Models for Machine-Assisted Corpus-Dictionary Linkage.

Kevin Black, Eric K. Ringger, Paul Felt, Kevin D. Seppi, Kristian Heal, Deryle Lonsdale

Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

2012

First Results in a Study Evaluating Pre-annotation and Correction Propagation for Machine-Assisted Syriac Morphological Analysis.

Paul Felt, Eric K. Ringger, Kevin D. Seppi, Kristian Heal, Robbie Haertel, Deryle Lonsdale

Proceedings of the Eighth International Conference on Language Resources and Evaluation, 2012

2010

CCASH: A Web Application Framework for Efficient, Distributed Language Resource Development.

Paul Felt, Owen Merkling, Marc Carmen, Eric K. Ringger, Warren Lemmon, Kevin D. Seppi, Robbie Haertel

Proceedings of the International Conference on Language Resources and Evaluation, 2010

Tag Dictionaries Accelerate Manual Annotation.

Marc Carmen, Paul Felt, Robbie Haertel, Deryle Lonsdale, Peter McClanahan, Owen Merkling, Eric K. Ringger, Kevin D. Seppi

Proceedings of the International Conference on Language Resources and Evaluation, 2010