Dongfang Xu

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	Wszystkie	Od 2020
Cytowania	661	580
h-indeks	15	14
i10-indeks	16	16

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Steven BethardAssociate Professor, University of ArizonaZweryfikowany adres z arizona.edu
Tim MillerAssociate Professor, Boston Childrens Hospital and Harvard Medical SchoolZweryfikowany adres z childrens.harvard.edu
Farig SadequeAssociate Professor, BRAC UniversityZweryfikowany adres z bracu.ac.bd
Graciela Gonzalez-HernandezDep. of Computational Biomedicine, Cedars-Sinai Medical CenterZweryfikowany adres z cshs.org
Egoitz LaparraUniversity of ArizonaZweryfikowany adres z arizona.edu
Ari Z. KleinUniversity of PennsylvaniaZweryfikowany adres z pennmedicine.upenn.edu
Yanjun GaoUniversity of Colorado; University of Wisconsin MadisonZweryfikowany adres z cuanschutz.edu
Vikas YadavUniversity of ArizonaZweryfikowany adres z arizona.edu
Raul Rodriguez-EstebanRoche Pharmaceuticals, Pharmaceutical Research & Early DevelopmentZweryfikowany adres z roche.com
Abeed SarkerEmory University School of MedicineZweryfikowany adres z dbmi.emory.edu
Davy WeissenbacherResearch Data Scientist at Cedars-SinaiZweryfikowany adres z cshs.org
Zeyu ZhangApplied Scientist, Amazon AGIZweryfikowany adres z email.arizona.edu
Lisa RaithelDFKI Berlin, LISN Orsay, TU Berlin, Université Paris-SaclayZweryfikowany adres z dfki.de
Sudeshna DasAssociate Prof. of Neurology Harvard Medical SchoolZweryfikowany adres z mgh.harvard.edu
Yao GeEmory UniversityZweryfikowany adres z emory.edu
Yuting GuoDoctoral Student of Computer Science, Emory UniversityZweryfikowany adres z emory.edu
Peter ClarkAllen Institute for Artificial Intelligence (AI2)Zweryfikowany adres z allenai.org
Martha Stone PalmerProfessor of Linguistics, Computer Science, University of ColoradoZweryfikowany adres z colorado.edu
Juan M. BandaStanford Health CareZweryfikowany adres z stanfordhealthcare.org
Guillermo López GarcíaPostdoctoral Scientist (Cedars-Sinai Medical Center)Zweryfikowany adres z cshs.org

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Dongfang Xu

Research Data Scientist @ Cedars-Sinai | Affiliated Personnel @ HMS and BCH

Zweryfikowany adres z cshs.org

Natural Language Processing Information Extraction NLP for Health Informatics


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
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	161	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, http://ceur-ws. org/Vol-1866/paper_58. pdf, 2017	70	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	53	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	46	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	38	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	37	2019
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
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	32	2022
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	28	2020
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	28	2018
A simple neural vector space model for medical concept normalization using concept embeddings D Xu, T Miller Journal of biomedical informatics 130, 104080, 2022	27	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	27	2016
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	18	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	4	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, e26659, 2018	1	2018
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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