| 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 | 144 | 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 | 64 | 2017 |
| 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 | 50 | 2020 |
| 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 | 44 | 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 | 36 | 2018 |
| 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 | 35 | 2022 |
| 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 | 33 | 2019 |
| 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 | 29 | 2022 |
| 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 | 26 | 2016 |
| 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 | 25 | 2018 |
| 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 | 23 | 2020 |
| A simple neural vector space model for medical concept normalization using concept embeddings D Xu, T Miller Journal of biomedical informatics 130, 104080, 2022 | 21 | 2022 |
| 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 Garcia, L Raithel, P Thomas, R Roller, E Aramaki, S Wakamiya, ... Proceedings of The 9th Social Media Mining for Health Research and …, 2024 | 19* | 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 | 19* | 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 | 16 | 2019 |
| Triplet-trained vector space and sieve-based search improve biomedical concept normalization D Xu, S Bethard Association for Computational Linguistics (ACL), 2021 | 10 | 2021 |
| 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 | 4 | 2023 |
| 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 | 3 | 2021 |
| 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 | 2 | 2018 |
| Proceedings of The 9th Social Media Mining for Health Research and Applications (SMM4H 2024) Workshop and Shared Tasks D Xu, G Gonzalez Proceedings of The 9th Social Media Mining for Health Research and …, 2024 | | 2024 |
Steven BethardAssociate Professor, University of ArizonaVerified email at arizona.edu
