Dongfang Xu
Dongfang Xu
PhD Candidate, School of Information, University of Arizona
Verified email at email.arizona.edu
Title
Cited by
Cited by
Year
Measuring the latency of depression detection in social media
F Sadeque, D Xu, S Bethard
Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018
292018
Introducing Explorer of Taxon Concepts with a case study on spider measurement matrix building
H Cui, D Xu, SS Chong, M Ramirez, T Rodenhausen, JA Macklin, ...
BMC bioinformatics 17 (1), 471, 2016
182016
From characters to time intervals: New paradigms for evaluation and neural parsing of time normalizations
E Laparra, D Xu, S Bethard
Transactions of the Association for Computational Linguistics 6, 343-356, 2018
152018
UArizona at the MADE1. 0 NLP challenge
D Xu, V Yadav, S Bethard
Proceedings of machine learning research 90, 57, 2018
142018
SemEval 2018 task 6: Parsing time normalizations
E Laparra, D Xu, A Elsayed, S Bethard, M Palmer
Proceedings of The 12th International Workshop on Semantic Evaluation, 88-96, 2018
132018
UArizona at the CLEF eRisk 2017 pilot task: linear and recurrent models for early depression detection
F Sadeque, D Xu, S Bethard
CEUR workshop proceedings 1866, 2017
132017
Multi-class hierarchical question classification for multiple choice science exams
D Xu, P Jansen, J Martin, Z Xie, V Yadav, HT Madabushi, O Tafjord, ...
arXiv preprint arXiv:1908.05441, 2019
62019
Pre-trained contextualized character embeddings lead to major improvements in time normalization: a detailed analysis
D Xu, E Laparra, S Bethard
Proceedings of the Eighth Joint Conference on Lexical and Computational …, 2019
12019
Unified Medical Language System resources improve sieve-based generation and Bidirectional Encoder Representations from Transformers (BERT)–based ranking for concept normalization
D Xu, M Gopale, J Zhang, K Brown, E Begoli, S Bethard
Journal of the American Medical Informatics Association, 2020
2020
A Generate-and-Rank Framework with Semantic Type Regularization for Biomedical Concept Normalization
D Xu, Z Zhang, S Bethard
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
2020
Resolving “orphaned” non-specific structures using machine learning and natural language processing methods
D Xu, SS Chong, T Rodenhausen, H Cui
Biodiversity data journal, 2018
2018
Bottom-up ontology building for domains without existing standards
SS Chong, T Rodenhausen, D Xu, H Cui, B Heidorn
iConference 2017 Proceedings, 2017
2017
Bottom-up Phenotype Ontology Building from Character Descriptions
H Cui, J Macklin, J Sachs, T Rodenhausen, S Chong, D Xu
TDWG 2016 ANNUAL CONFERENCE, 2016
2016
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