Bingyang Yehe/him/his is a
3rd-year PhD candidate in
Natural Language Processinglinguistics, computer science & artificial intelligence

Bingyang Yehe/him/his is a 3rd-year PhD candidate in Natural Language Processing

- supervised byProf. James Pustejovskyat Brandeis University. He earned his MS degree in Computational Linguistics from Brandeis University and his BA in English & French from Nanjing Normal University, and worked as a NLP Scientist at CodaMetrix with a focus in Clinical NLP inbetween his studies.

- supervised byProf. James Pustejovskyat Brandeis University. He earned his MS degree in Computational Linguistics from Brandeis University and his BA in English & French from Nanjing Normal University, and worked as a NLP Scientist at CodaMetrix with a focus in Clinical NLP inbetween his studies.

Bingyang's academic focuses include Natural Language Understanding, Computational Linguistics, Language Annotation, Clinical NLP, and ML/DL in general.

Pubications

GLAMR: Augmenting AMR with GL-VerbNet Event Structure

Tu, Jingxuan, Timothy Obiso, Bingyang Ye, Kyeongmin Rim, Keer Xu, Liulu Yue, Susan Windisch Brown, Martha Palmer, James Pustejovsky
LREC-COLING 2024

The Coreference under Transformation Labeling Dataset: Entity Tracking in Procedural Texts Using Event Models

Rim, Kyeongmin, Jingxuan Tu, Bingyang Ye, Marc Verhagen, Eben Holderness, James Pustejovsky
Findings of ACL 2023

Scalar Anaphora: Annotating Degrees of Coreference in Text

Ye, Bingyang, Jingxuan Tu, James Pustejovsky.
CRAC 2023

Interpreting Logical Metonymy through Dense Paraphrasing

Ye, Bingyang, Jingxuan Tu, Elizabeth Jezek, James Pustejovsky.
CogSci 2022

An Ensemble Approach to Automatic Structuring of Radiology Reports

Shahri, Morteza Pourreza, Amir M. Tahmasebi, Bingyang Ye, Henghui Zhu, Javed A. Aslam and Timothy G. Ferris.
CLINICALNLP 2020

Presentations

Interpreting Logical Metonymy through Dense Paraphrasing

CogSci 2022

Automatic CPT Coding of Radiology Notes using Convolutional Recurrent Neural Network

C-MIMI 2020