Dongfang Xu
Dongfang Xu
PhD Candidate, School of Information, University of Arizona
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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
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
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
UArizona at the MADE1. 0 NLP challenge
D Xu, V Yadav, S Bethard
Proceedings of machine learning research 90, 57, 2018
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
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
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
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
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
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
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
Bottom-up ontology building for domains without existing standards
SS Chong, T Rodenhausen, D Xu, H Cui, B Heidorn
iConference 2017 Proceedings, 2017
Bottom-up Phenotype Ontology Building from Character Descriptions
H Cui, J Macklin, J Sachs, T Rodenhausen, S Chong, D Xu
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