Luheng He


I am a fourth year Ph.D. student in the Department of Computer Science and Engineering at the University of Washington, advised by Prof. Luke Zettlemoyer. My research interests include natural language processing and computational linguistics.

[curriculum vitae]

Email: first_name at cs dot washington dot edu

Publications

Semantics

End-to-end Neural Coreference Resolution
Kenton Lee, Luheng He, Mike Lewis, and Luke Zettlemoyer.
Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017.
[Kenton's code] [demo]

Deep Semantic Role Labeling: What Works and What's Next
Luheng He, Kenton Lee, Mike Lewis, and Luke Zettlemoyer.
Annual Meeting of the Association for Computational Linguistics (ACL), 2017.
[code] [bibtex]

@inproceedings{he2017deep,
title={Deep Semantic Role Labeling: What Works and What’s Next},
author={He, Luheng and Lee, Kenton and Lewis, Mike and Zettlemoyer, Luke},
booktitle={Proceedings of the Annual Meeting of the Association for Computational Linguistics},
year={2017}
}

Human-in-the-Loop Parsing
Luheng He, Julian Michael, Mike Lewis, and Luke Zettlemoyer.
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2016.
[code] [bibtex]

@inproceedings{he2016human,
title={Human-in-the-Loop Parsing},
author={He, Luheng and Michael, Julian and Lewis, Mike and Zettlemoyer, Luke}
booktitle={{Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing},
year={2016}
}

Question-Answer Driven Semantic Role Labeling: Using Natural Language to Annotate Natural Language
Luheng He, Mike Lewis, and Luke Zettlemoyer.
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2015.
[project homepage] [code] [slides]

Joint A CCG Parsing and Semantic Role Labeling
Mike Lewis, Luheng He, and Luke Zettlemoyer.
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2015.
[Mike's code]

Posterior Regularization

Multi-Label Learning with Posterior Regularization
Xi Victoria Lin, Sameer Singh, Luheng He, Ben Taskar and Luke Zettlemoyer
NIPS Workshop on Modern Machine Learning and Natural Language Processing, 2014.

Graph-Based Posterior Regularization for Semi-Supervised Structured Prediction
Luheng He, Jennifer Gillenwater, and Ben Taskar.
Conference on Computational Natural Language Learning (CoNLL), 2013.
[code] [supplement] [slides (for nwnlp 2014)]

Recommender Systems

Social Temporal Collaborative Ranking for Context Aware Movie Recommendation
Nathan N. Liu, Luheng He, and Qiang Yang.
ACM Transactions on Intelligent Systems and Technology (TIST), 2013.

Active Dual Collaborative Filtering with Both Item and Attribute Feedback
Luheng He, Nathan N. Liu, and Qiang Yang.
AAAI Conference on Artificial Intelligence, 2011.

Personal

Bouldering :)