Jeffrey Lund

According to our database, Jeffrey Lund authored at least 10 papers between 2012 and 2019.

Collaborative distances:

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

2019

Cross-referencing Using Fine-grained Topic Modeling.

Jeffrey Lund, Piper Armstrong, Wilson Fearn, Stephen Cowley, Emily Hales, Kevin D. Seppi

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Automatic Evaluation of Local Topic Quality.

Jeffrey Lund, Piper Armstrong, Wilson Fearn, Stephen Cowley, Courtni Byun, Jordan L. Boyd-Graber, Kevin D. Seppi

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Movie Recommendations Using the Deep Learning Approach.

Jeffrey Lund, Yiu-Kai Ng

Proceedings of the 2018 IEEE International Conference on Information Reuse and Integration, 2018

Labeled Anchors and a Scalable, Transparent, and Interactive Classifier.

Jeffrey Lund, Stephen Cowley, Wilson Fearn, Emily Hales, Kevin D. Seppi

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Why ADAGRAD Fails for Online Topic Modeling.

You Lu, Jeffrey Lund, Jordan L. Boyd-Graber

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Tandem Anchoring: a Multiword Anchor Approach for Interactive Topic Modeling.

Jeffrey Lund, Connor Cook, Kevin D. Seppi, Jordan L. Boyd-Graber

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Mrs: High Performance MapReduce for Iterative and Asynchronous Algorithms in Python.

Jeffrey Lund, Chace Ashcraft, Andrew W. McNabb, Kevin D. Seppi

Proceedings of the 6th Workshop on Python for High-Performance and Scientific Computing, 2016

Fast Inference for Interactive Models of Text.

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

Proceedings of the COLING 2016, 2016

2015

Is Your Anchor Going Up or Down? Fast and Accurate Supervised Topic Models.

Thang Nguyen, Jordan L. Boyd-Graber, Jeffrey Lund, Kevin D. Seppi, Eric K. Ringger

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

2012

Mrs: MapReduce for Scientific Computing in Python.

Andrew W. McNabb, Jeffrey Lund, Kevin D. Seppi

Proceedings of the 2012 SC Companion: High Performance Computing, 2012