ProfessorsProfessors of Johns Hopkins UniversitySeth Ebner

Seth Ebner

Johns Hopkins University

H-index: 6

North America-United States

About Seth Ebner

Seth Ebner, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Johns Hopkins University, specializes in the field of Machine Learning, Natural Language Processing, Linguistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Closer Look at Claim Decomposition

The Effect of Alignment Correction on Cross-Lingual Annotation Projection

An Augmentation Strategy for Visually Rich Documents

Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction

Gradual Fine-Tuning for Low-Resource Domain Adaptation

Seth Ebner Information

University	Johns Hopkins University
Position	___
Citations(all)	257
Citations(since 2020)	257
Cited By	15
hIndex(all)	6
hIndex(since 2020)	6
i10Index(all)	4
i10Index(since 2020)	4
Email	Access Email
University Profile Page	Johns Hopkins University
Google Scholar	View Google Scholar Profile

Seth Ebner Skills & Research Interests

Machine Learning

Natural Language Processing

Linguistics

Top articles of Seth Ebner

Title	Journal	Author(s)	Publication Date
A Closer Look at Claim Decomposition	arXiv preprint arXiv:2403.11903	Miriam Wanner Seth Ebner Zhengping Jiang Mark Dredze Benjamin Van Durme	2024/3/18
The Effect of Alignment Correction on Cross-Lingual Annotation Projection		Shabnam Behzad Seth Ebner Marc Marone Benjamin Van Durme Mahsa Yarmohammadi	2023/7
An Augmentation Strategy for Visually Rich Documents	arXiv preprint arXiv:2212.10047	Jing Xie James B Wendt Yichao Zhou Seth Ebner Sandeep Tata	2022/12/20
Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction	Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing	Mahsa Yarmohammadi Shijie Wu Marc Marone Haoran Xu Seth Ebner ...	2021
Gradual Fine-Tuning for Low-Resource Domain Adaptation	Proceedings of the Second Workshop on Domain Adaptation for NLP	Haoran Xu Seth Ebner Mahsa Yarmohammadi Aaron Steven White Benjamin Van Durme ...	2021/3/3