crossj [at] oregonstate.edu
@EECS, Oregon State University
I am a Ph.D. candidate at School of Electrical Engineering and Computer Science, Oregon State University.
I work with Prof. Liang Huang developing algorithms and conducting theoretical research in the area of Natural Language Processing (NLP), especially statistical parsing using deep learning.
James Cross and Liang Huang. Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles. In Proceedings of EMNLP 2016 (Honorable Mention for Best Paper). [code] [slides]
James Cross and Liang Huang. Incremental Parsing with Minimal Features Using Bi-Directional LSTM. In Proceedings of ACL 2016.
James Cross, Bing Xiang, Bowen Zhou. Good, Better, Best: Choosing Word Embedding Context. arXiv (2015).
Kai Zhao, James Cross and Liang Huang. Optimal Incremental Parsing via Best-First Dynamic Programming. In Proceedings of EMNLP 2013.
James Cross, Irina Gladkova, Paul Menzel, Andrew Heidinger, and Michael Grossberg. Statistical estimation of a 13.3 μm Visible Infrared Imaging Radiometer Suite channel using multisensor data fusion. Journal of Applied Remote Sensing 7.1 (2013).
Irina Gladkova, James Cross, Paul Menzel, Andrew Heidinger, and Michael Grossberg. Statistical Estimation of a 13.3 micron Channel for VIIRS using Multisensor Data Fusion with Application to Cloud-Top Pressure Estimation. In Proc. AMS 29th Conference on Environmental Information Processing Technologies (2013).