Dongfang Xu
Dongfang Xu
Research Fellow, Harvard Medical School & Boston Children's Hospital
Verified email at
Cited by
Cited by
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
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
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
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 MADE1. 0 NLP Challenge
D Xu, V Yadav, S Bethard
International workshop on medication and adverse drug event detection, 57-65, 2018
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
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
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
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 27 (10), 1510-1519, 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
Triplet-Trained Vector Space and Sieve-Based Search Improve Biomedical Concept Normalization
D Xu, S Bethard
Proceedings of the 20th Workshop on Biomedical Language Processing, 11-22, 2021
Neural Network Algorithms for Ontology Informed Information Extraction
D Xu
The University of Arizona, 2021
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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