🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Steven Bethard

ORCID: 0000-0001-9560-6491
Computer ScienceBiochemistry, Genetics and Molecular Biology

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 5%percentile
0.470Author DataRank

Indexed papers

1in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

SemEval-2021 Task 10: Source-Free Domain Adaptation for Semantic Processing

UA Campus Repository (The University of Arizona)(2021)10.18653/v1/2021.semeval-1.42
Top 40%
0.470DataRank
Top 40%9 citations

Xin Su, Yiyun Zhao, Özlem Uzuner, Timothy A. Miller, Steven Bethard +1 more

Papers

Driven by 22 papers — median percentile 60. Top paper: “SemEval-2021 Task 10: Source-Free Domain Adaptation for Semantic Processing”.

SemEval-2021 Task 10: Source-Free Domain Adaptation for Semantic Processing

UA Campus Repository (The University of Arizona)(2021)10.18653/v1/2021.semeval-1.42
Top 40%
0.470DataRank
Top 40%9 citations

Xin Su, Yiyun Zhao, Özlem Uzuner, Timothy A. Miller, Steven Bethard +1 more

Two-Stage Fine-Tuning for Improved Bias and Variance for Large Pretrained Language Models

(2023)10.18653/v1/2023.acl-long.877
N/A
0.373DataRank · unranked
11 citations

Yingya Li, Timothy M. Miller, Steven Bethard, Guergana Savova, Lijing Wang

Unified Medical Language System resources improve sieve-based generation and Bidirectional Encoder Representations from Transformers (BERT)–based ranking for concept normalization

Journal of the American Medical Informatics Association(2020)10.1093/jamia/ocaa080
N/A
0DataRank · unranked
30 citations

Manoj Gopale, Jiacheng Zhang, Kris Brown, Edmon Begoli, Steven Bethard +1 more

A Generate-and-Rank Framework with Semantic Type Regularization for Biomedical Concept Normalization

(2020)10.18653/v1/2020.acl-main.748
N/A
0DataRank · unranked
43 citations

Zeyu Zhang, Steven Bethard, Dongfang Xu

How does BERT’s attention change when you fine-tune? An analysis methodology and a case study in negation scope

(2020)10.18653/v1/2020.acl-main.429
N/A
0DataRank · unranked
35 citations

Steven Bethard, Yiyun Zhao

A BERT-based One-Pass Multi-Task Model for Clinical Temporal Relation Extraction

UA Campus Repository (The University of Arizona)(2020)10.18653/v1/2020.bionlp-1.7
N/A
0DataRank · unranked
25 citations

T. Miller, Dmitriy Dligach, Farig Sadeque, Steven Bethard, Guergana Savova +1 more

Defining and Learning Refined Temporal Relations in the Clinical Narrative

(2020)10.18653/v1/2020.louhi-1.12
N/A
0DataRank · unranked
14 citations

Chen Lin, Timothy A. Miller, Steven Bethard, Dmitriy Dligach, Martha Palmer +3 more

EntityBERT: Entity-centric Masking Strategy for Model Pretraining for the Clinical Domain

UA Campus Repository (The University of Arizona)(2021)10.18653/v1/2021.bionlp-1.21
N/A
0DataRank · unranked
32 citations

Timothy M. Miller, Dmitriy Dligach, Steven Bethard, Guergana Savova, Chen Lin

Triplet-Trained Vector Space and Sieve-Based Search Improve Biomedical Concept Normalization

UA Campus Repository (The University of Arizona)(2021)10.18653/v1/2021.bionlp-1.2
N/A
0DataRank · unranked
7 citations

Steven Bethard, Dongfang Xu

The University of Arizona at SemEval-2021 Task 10: Applying Self-training, Active Learning and Data Augmentation to Source-free Domain Adaptation

(2021)10.18653/v1/2021.semeval-1.56
N/A
0DataRank · unranked
4 citations

Yiyun Zhao, Steven Bethard, Xin Su

Do pretrained transformers infer telicity like humans?

Conference on Computational Natural Language Learning(2021)10.18653/v1/2021.conll-1.6
N/A
0DataRank · unranked
0 citations

Jian Gang Ngui, Lucy Hall Hartley, Steven Bethard, Yiyun Zhao

Simplifying annotation of intersections in time normalization annotation: exploring syntactic and semantic validation

(2021)10.18653/v1/2021.law-1.11
N/A
0DataRank · unranked
0 citations

Steven Bethard, Peiwen Su

A Comparison of Strategies for Source-Free Domain Adaptation

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)(2022)10.18653/v1/2022.acl-long.572
N/A
0DataRank · unranked
6 citations

Yiyun Zhao, Steven Bethard, Xin Su

Exploring Text Representations for Generative Temporal Relation Extraction

UA Campus Repository (The University of Arizona)(2022)10.18653/v1/2022.clinicalnlp-1.12
N/A
0DataRank · unranked
5 citations

Steven Bethard, Timothy M. Miller, Guergana Savova, Dmitriy Dligach

Ensemble-based Fine-Tuning Strategy for Temporal Relation Extraction from the Clinical Narrative

UA Campus Repository (The University of Arizona)(2022)10.18653/v1/2022.clinicalnlp-1.11
N/A
0DataRank · unranked
2 citations

Timothy M. Miller, Steven Bethard, Guergana Savova, Lijing Wang

End-to-end clinical temporal information extraction with multi-head attention

PubMed(2023)10.18653/v1/2023.bionlp-1.28
N/A
0DataRank · unranked
5 citations

Steven Bethard, Dmitriy Dligach, Guergana Savova, Timothy M. Miller

Textual Entailment for Temporal Dependency Graph Parsing

(2023)10.18653/v1/2023.clinicalnlp-1.25
N/A
0DataRank · unranked
0 citations

Steven Bethard, Kristin Wright-Bettner, Eli Goldner, David J. Harris, Guergana Savova +1 more

Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning

(2024)10.18653/v1/2024.naacl-long.475
N/A
0DataRank · unranked
3 citations

Tiep Le, Steven Bethard, Phillip Howard, Xin Su

Identifying Task Groupings for Multi-Task Learning Using Pointwise V-Usable Information

arXiv (Cornell University)(2024)10.48550/arxiv.2410.12774
N/A
0DataRank · unranked
0 citations

Timothy M. Miller, Steven Bethard, Guergana Savova, Yingya Li

Does BERT need domain adaptation for clinical negation detection?

Journal of the American Medical Informatics Association(2020)10.1093/jamia/ocaa001
N/A
0DataRank · unranked
62 citations

Steven Bethard, Dmitriy Dligach, Farig Sadeque, Guergana Savova, Timothy A. Miller +1 more

Identifying task groupings for multi-task learning using pointwise V-usable information

Journal of Biomedical Informatics(2025)10.1016/j.jbi.2025.104881
N/A
0DataRank · unranked
2 citations

Timothy M. Miller, Steven Bethard, Guergana Savova, Yingya Li

Rethinking domain adaptation for machine learning over clinical language

JAMIA Open(2020)10.1093/jamiaopen/ooaa010
N/A
0DataRank · unranked
31 citations

Steven Bethard, Timothy A. Miller, Egoitz Laparra