| 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 | 99 | 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 | 42 | 2017 |
| 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 | 28 | 2018 |
| SemEval 2018 Task 6: Parsing Time Normalizations. E Laparra, D Xu, A Elsayed, S Bethard, M Palmer SemEval@ NAACL-HLT, 88-96, 2018 | 26 | 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 | 23 | 2020 |
| 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 | 23 | 2019 |
| 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 | 23 | 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 | 22 | 2016 |
| 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 | 16 | 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 | 10 | 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 | 5 | 2022 |
| Triplet-trained vector space and sieve-based search improve biomedical concept normalization D Xu, S Bethard Association for Computational Linguistics (ACL), 2021 | 4 | 2021 |
| A simple neural vector space model for medical concept normalization using concept embeddings D Xu, T Miller Journal of Biomedical Informatics 130, 104080, 2022 | 3 | 2022 |
| Summarizing Patients Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models Y Gao, D Dligach, T Miller, D Xu, MM Churpek, M Afshar arXiv preprint arXiv:2208.08408, 2022 | 2 | 2022 |
| 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 | 1 | 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 | 1 | 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 |
Steven BethardAssociate Professor, University of ArizonaVerified email at arizona.edu
