Chao Zhao

36 papers A* 2Journal 21Unranked 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Causal discovery based on hierarchical reinforcement learning.
Expert Syst. Appl.
Jingchi Jiang, Rujia Shen, Chao Zhao, Yi Guan, Xuehui Yu, Xuelian Fu
2025 J jnl
Hierarchical Causal Discovery From Large-Scale Observed Variables.
IEEE Trans. Knowl. Data Eng.
Rujia Shen, Muhan Li, Chao Zhao, Boran Wang, Yi Guan, Jie Liu, Jingchi Jiang
2024 J jnl
Causal Discovery from Time-Series Data with Short-Term Invariance-Based Convolutional Neural Networks.
CoRR
Rujia Shen, Boran Wang, Chao Zhao, Yi Guan, Jingchi Jiang
2024 — conf
Returning to the Start: Generating Narratives with Related Endpoints.
NAACL (Short Papers)
Anneliese Brei, Chao Zhao, Snigdha Chaturvedi
2024 J jnl
Returning to the Start: Generating Narratives with Related Endpoints.
CoRR
Anneliese Brei, Chao Zhao, Snigdha Chaturvedi
2024 J jnl
SPECTRUM: Speaker-Enhanced Pre-Training for Long Dialogue Summarization.
CoRR
Sangwoo Cho, Kaiqiang Song, Chao Zhao, Xiaoyang Wang, Dong Yu
2023 — conf
PARROT: Zero-Shot Narrative Reading Comprehension via Parallel Reading.
EMNLP (Findings)
Chao Zhao, Anvesh Rao Vijjini, Snigdha Chaturvedi
2023 — —
Text Summarization under low Supervision.
Chao Zhao
2022 — conf
Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension.
ACL (2)
Chao Zhao, Wenlin Yao, Dian Yu, Kaiqiang Song, Dong Yu, Jianshu Chen
2022 J jnl
Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension.
CoRR
Chao Zhao, Wenlin Yao, Dian Yu, Kaiqiang Song, Dong Yu, Jianshu Chen
2022 — conf
NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization.
EMNLP (Findings)
Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi
2022 J jnl
NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization.
CoRR
Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi
2022 — conf
Read Top News First: A Document Reordering Approach for Multi-Document News Summarization.
ACL (Findings)
Chao Zhao, Tenghao Huang, Somnath Basu Roy Chowdhury, Muthu Kumar Chandrasekaran, Kathleen R. McKeown, Snigdha Chaturvedi
2022 J jnl
Read Top News First: A Document Reordering Approach for Multi-Document News Summarization.
CoRR
Chao Zhao, Tenghao Huang, Somnath Basu Roy Chowdhury, Muthu Kumar Chandrasekaran, Kathleen R. McKeown, Snigdha Chaturvedi
2022 — conf
Revisiting Generative Commonsense Reasoning: A Pre-Ordering Approach.
NAACL-HLT (Findings)
Chao Zhao, Faeze Brahman, Tenghao Huang, Snigdha Chaturvedi
2022 J jnl
Revisiting Generative Commonsense Reasoning: A Pre-Ordering Approach.
CoRR
Chao Zhao, Faeze Brahman, Tenghao Huang, Snigdha Chaturvedi
2022 — conf
Unsupervised Extractive Opinion Summarization Using Sparse Coding.
ACL (1)
Somnath Basu Roy Chowdhury, Chao Zhao, Snigdha Chaturvedi
2022 J jnl
Unsupervised Extractive Opinion Summarization Using Sparse Coding.
CoRR
Somnath Basu Roy Chowdhury, Chao Zhao, Snigdha Chaturvedi
2021 — conf
"Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding.
EMNLP (Findings)
Faeze Brahman, Meng Huang, Oyvind Tafjord, Chao Zhao, Mrinmaya Sachan, Snigdha Chaturvedi
2021 J jnl
"Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding.
CoRR
Faeze Brahman, Meng Huang, Oyvind Tafjord, Chao Zhao, Mrinmaya Sachan, Snigdha Chaturvedi
2020 A* conf
Bridging the Structural Gap Between Encoding and Decoding for Data-To-Text Generation.
ACL
Chao Zhao, Marilyn A. Walker, Snigdha Chaturvedi
2020 A* conf
Weakly-Supervised Opinion Summarization by Leveraging External Information.
AAAI
Chao Zhao, Snigdha Chaturvedi
2019 J jnl
Weakly-Supervised Opinion Summarization by Leveraging External Information.
CoRR
Chao Zhao, Snigdha Chaturvedi
2018 J jnl
EMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning.
Artif. Intell. Medicine
Chao Zhao, Jingchi Jiang, Yi Guan, Xitong Guo, Bin He
2018 J jnl
Max-margin weight learning for medical knowledge network.
Comput. Methods Programs Biomed.
Jingchi Jiang, Jing Xie, Chao Zhao, Jia Su, Yi Guan, Qiubin Yu
2017 J jnl
A study of EMR-based medical knowledge network and its applications.
Comput. Methods Programs Biomed.
Chao Zhao, Jingchi Jiang, Zhiming Xu, Yi Guan
2017 J jnl
Classification of entities via their descriptive sentences.
CoRR
Chao Zhao, Min Zhao, Yi Guan
2017 — conf
Constructing a Hierarchical User Interest Structure Based on User Profiles.
ICDM Workshops
Chao Zhao, Min Zhao, Yi Guan
2017 J jnl
Constructing a Hierarchical User Interest Structure based on User Profiles.
CoRR
Chao Zhao, Min Zhao, Yi Guan
2017 J jnl
De-identification of medical records using conditional random fields and long short-term memory networks.
CoRR
Zhipeng Jiang, Chao Zhao, Bin He, Yi Guan, Jingchi Jiang
2017 J jnl
EMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning.
CoRR
Chao Zhao, Jingchi Jiang, Yi Guan
2017 J jnl
Learning and inference in knowledge-based probabilistic model for medical diagnosis.
CoRR
Jingchi Jiang, Chao Zhao, Yi Guan, Qiubin Yu
2017 J jnl
Learning and inference in knowledge-based probabilistic model for medical diagnosis.
Knowl. Based Syst.
Jingchi Jiang, Xueli Li, Chao Zhao, Yi Guan, Qiubin Yu
2015 — conf
HIT-WI at TREC 2015 Clinical Decision Support Track.
TREC
Jingchi Jiang, Yi Guan, Jia Su, Chao Zhao, Jinfeng Yang
2015 — conf
WI-ENRE in CLEF eHealth Evaluation Lab 2015: Clinical Named Entity Recognition Based on CRF.
CLEF (Working Notes)
Jingchi Jiang, Yi Guan, Chao Zhao
2015 — conf
WI-ENRE in CLEF eHealth Evaluation Lab 2015: Clinical Named Entity Recognition Based on CRF.
CLEF (Working Notes)
Jingchi Jiang, Yi Guan, Chao Zhao