SurfCon
Author:
Affiliation:
1. The Ohio State University, Columbus, OH, USA
2. Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH, USA
Funder
Patient-Centered Outcomes Research Institute
National Science Foundation
Army Research Office
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3292500.3330894
Reference42 articles.
1. M. Ballesteros C. Dyer and N. A. Smith. 2015. Improved transition-based parsing by modeling characters instead of words with LSTMs. In EMNLP . M. Ballesteros C. Dyer and N. A. Smith. 2015. Improved transition-based parsing by modeling characters instead of words with LSTMs. In EMNLP .
2. A. L. Beam B. Kompa I. Fried N. P. Palmer X. Shi T. Cai and I. S. Kohane. 2018. Clinical Concept Embeddings Learned from Massive Sources of Medical Data. arXiv preprint arXiv:1804.01486 (2018). A. L. Beam B. Kompa I. Fried N. P. Palmer X. Shi T. Cai and I. S. Kohane. 2018. Clinical Concept Embeddings Learned from Massive Sources of Medical Data. arXiv preprint arXiv:1804.01486 (2018).
3. P. Bojanowski E. Grave A. Joulin and T. Mikolov. 2016. Enriching word vectors with subword information. TACL (2016). P. Bojanowski E. Grave A. Joulin and T. Mikolov. 2016. Enriching word vectors with subword information. TACL (2016).
4. Z. Cao T. Qin T. Liu M. Tsai and H. Li. 2007. Learning to rank: from pairwise approach to listwise approach. In ICML . 10.1145/1273496.1273513 Z. Cao T. Qin T. Liu M. Tsai and H. Li. 2007. Learning to rank: from pairwise approach to listwise approach. In ICML . 10.1145/1273496.1273513
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