Burr Settles

Affiliations:
  • Carnegie Mellon University, Pittsburgh, USA


According to our database1, Burr Settles authored at least 29 papers between 2004 and 2021.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
Jump-Starting Item Parameters for Adaptive Language Tests.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Machine Learning Driven Language Assessment.
Trans. Assoc. Comput. Linguistics, 2020

Workshop Proposal: Educational A/B Testing at Scale.
Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

A Sleeping, Recovering Bandit Algorithm for Optimizing Recurring Notifications.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Simultaneous Translation and Paraphrase for Language Education.
Proceedings of the Fourth Workshop on Neural Generation and Translation, 2020

2018
Never-ending learning.
Commun. ACM, 2018

Second Language Acquisition Modeling.
Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications@NAACL-HLT 2018, 2018

2016
Self-Directed Learning Favors Local, Rather Than Global, Uncertainty.
Cogn. Sci., 2016

A Trainable Spaced Repetition Model for Language Learning.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

2013
Modeling online creative collaborations.
XRDS, 2013

Learning from Human-Generated Lists.
Proceedings of the 30th International Conference on Machine Learning, 2013

Let's get together: the formation and success of online creative collaborations.
Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, 2013

2012
Active Learning
Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, ISBN: 978-3-031-01560-1, 2012

Behavioral Factors in Interactive Training of Text Classifiers.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

2011
From Theories to Queries.
Proceedings of the Active Learning and Experimental Design workshop, 2011

Closing the Loop: Fast, Interactive Semi-Supervised Annotation With Queries on Features and Instances.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Plugged in to the community: social motivators in online goal-setting groups.
Proceedings of the Fifth International Conference on Communities and Technologies, 2011

2010
Learning to Tag from Open Vocabulary Labels.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Toward an Architecture for Never-Ending Language Learning.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Active Learning by Labeling Features.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

A Software Tool for Biomedical Information Extraction (And Beyond).
Proceedings of the Information Retrieval in Biomedicine, 2009

2008
An Analysis of Active Learning Strategies for Sequence Labeling Tasks.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

2007
Multiple-Instance Active Learning.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006
Ranking Biomedical Passages for Relevance and Diversity: University of Wisconsin, Madison at TREC Genomics 2006.
Proceedings of the Fifteenth Text REtrieval Conference, 2006

2005
ABNER: an open source tool for automatically tagging genes, proteins and other entity names in text.
Bioinform., 2005

Classifying Biomedical Articles by Making Localized Decisions.
Proceedings of the Fourteenth Text REtrieval Conference, 2005

2004
Exploiting Zone Information, Syntactic Rules, and Informative Terms in Gene Ontology Annotation of Biomedical Documents.
Proceedings of the Thirteenth Text REtrieval Conference, 2004

Biomedical Named Entity Recognition using Conditional Random Fields and Rich Feature Sets.
Proceedings of the International Joint Workshop on Natural Language Processing in Biomedicine and its Applications, 2004


  Loading...