Yingjie Li

Orcid: 0000-0003-4015-4576

Affiliations:
  • University of Illinois at Chicago, IL, USA


According to our database1, Yingjie Li authored at least 18 papers between 2019 and 2025.

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Bibliography

2025
PerSphere: A Comprehensive Framework for Multi-Faceted Perspective Retrieval and Summarization.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Exploring heterophily in calibration of graph neural networks.
Neurocomputing, 2024

XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference Resolution.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

ZeroStance: Leveraging ChatGPT for Open-Domain Stance Detection via Dataset Generation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Pro-Woman, Anti-Man? Identifying Gender Bias in Stance Detection.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
TTS: A Target-based Teacher-Student Framework for Zero-Shot Stance Detection.
Proceedings of the ACM Web Conference 2023, 2023

Enhancing Argument Structure Extraction with Efficient Leverage of Contextual Information.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

C-STANCE: A Large Dataset for Chinese Zero-Shot Stance Detection.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

A New Direction in Stance Detection: Target-Stance Extraction in the Wild.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Distilling Calibrated Knowledge for Stance Detection.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2021
Target-Aware Data Augmentation for Stance Detection.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Improving Stance Detection with Multi-Dataset Learning and Knowledge Distillation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

P-Stance: A Large Dataset for Stance Detection in Political Domain.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

A Multi-Task Learning Framework for Multi-Target Stance Detection.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Stance Detection in COVID-19 Tweets.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2019
Sympathy Detection in Disaster Twitter Data.
Proceedings of the 16th International Conference on Information Systems for Crisis Response and Management, 2019

Multi-Task Stance Detection with Sentiment and Stance Lexicons.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019


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