Takip et
Dongfang Xu
Dongfang Xu
Research Data Scientist @ Cedars-Sinai | Affiliated Personnel @ HMS and BCH
cshs.org üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
1612018
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, http://ceur-ws. org/Vol-1866/paper_58. pdf, 2017
702017
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
532020
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
462018
Summarizing patients’ problems from hospital progress notes using pre-trained sequence-to-sequence models
Y Gao, T Miller, D Xu, D Dligach, MM Churpek, M Afshar
Proceedings of COLING. International Conference on Computational Linguistics …, 2022
382022
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
372019
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
362018
A scoping review of publicly available language tasks in clinical natural language processing
Y Gao, D Dligach, L Christensen, S Tesch, R Laffin, D Xu, T Miller, ...
Journal of the American Medical Informatics Association 29 (10), 1797-1806, 2022
322022
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
282020
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
282018
A simple neural vector space model for medical concept normalization using concept embeddings
D Xu, T Miller
Journal of biomedical informatics 130, 104080, 2022
272022
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
272016
Overview of the 9th Social Media Mining for Health Applications (# SMM4H) Shared Tasks at ACL 2024–Large Language Models and Generalizability for Social Media NLP
D Xu, G Lopez-Garcia, L Raithel, R Roller, P Thomas, E Aramaki, ...
The 9th Social Media Mining for Health Research and Applications (SMM4H 2024 …, 2024
21*2024
Overview of the 8th Social Media Mining for Health Applications (# SMM4H) shared tasks at the AMIA 2023 Annual Symposium
AZ Klein, JM Banda, Y Guo, AL Schmidt, D Xu, I Flores Amaro, ...
Journal of the American Medical Informatics Association 31 (4), 991-996, 2024
20*2024
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
182019
Triplet-trained vector space and sieve-based search improve biomedical concept normalization
D Xu, S Bethard
Association for Computational Linguistics (ACL), 2021
102021
Automatic extraction of medication mentions from tweets—overview of the biocreative VII shared task 3 competition
D Weissenbacher, K O’Connor, S Rawal, Y Zhang, RTH Tsai, T Miller, ...
Database 2023, baac108, 2023
42023
BCH-NLP at BioCreative VII Track 3: medications detection in tweets using transformer networks and multi-task learning
D Xu, S Chen, T Miller
arXiv preprint arXiv:2111.13726, 2021
42021
Resolving “orphaned” non-specific structures using machine learning and natural language processing methods
D Xu, SS Chong, T Rodenhausen, H Cui
Biodiversity data journal, e26659, 2018
12018
Leveraging Natural Language Processing and Machine Learning Methods for Adverse Drug Event Detection in Electronic Health/Medical Records: A Scoping Review
S Golder, D Xu, K O’Connor, Y Wang, M Batra, GG Hernandez
Drug Safety, 1-17, 2025
2025
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