Yuhao Zhang

Affiliations:
  • Stanford University, CA, USA


According to our database1, Yuhao Zhang authored at least 23 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2023
Tokenization Consistency Matters for Generative Models on Extractive NLP Tasks.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

RobustQA: Benchmarking the Robustness of Domain Adaptation for Open-Domain Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Improving Cross-task Generalization of Unified Table-to-text Models with Compositional Task Configurations.
CoRR, 2022

Contrastive Learning of Medical Visual Representations from Paired Images and Text.
Proceedings of the Machine Learning for Healthcare Conference, 2022

2021
Biomedical and clinical English model packages for the Stanza Python NLP library.
J. Am. Medical Informatics Assoc., 2021

RadGraph: Extracting Clinical Entities and Relations from Radiology Reports.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Do Syntax Trees Help Pre-trained Transformers Extract Information?
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Overview of the MEDIQA 2021 Shared Task on Summarization in the Medical Domain.
Proceedings of the 20th Workshop on Biomedical Language Processing, 2021

2020
Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation.
CoRR, 2020

Stay Hungry, Stay Focused: Generating Informative and Specific Questions in Information-Seeking Conversations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Stanza: A Python Natural Language Processing Toolkit for Many Human Languages.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

2019
Cross-type biomedical named entity recognition with deep multi-task learning.
Bioinform., 2019

Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Expanding a radiology lexicon using contextual patterns in radiology reports.
J. Am. Medical Informatics Assoc., 2018

Graph Convolution over Pruned Dependency Trees Improves Relation Extraction.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Universal Dependency Parsing from Scratch.
Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, Brussels, Belgium, October 31, 2018

Learning to Summarize Radiology Findings.
Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis, 2018

2017
Stanford at TAC KBP 2017: Building a Trilingual Relational Knowledge Graph.
Proceedings of the 2017 Text Analysis Conference, 2017

Position-aware Attention and Supervised Data Improve Slot Filling.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
Stanford at TAC KBP 2016: Sealing Pipeline Leaks and Understanding Chinese.
Proceedings of the 2016 Text Analysis Conference, 2016

2015
Helping Users Bootstrap Ontologies: An Empirical Investigation.
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 2015


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