Yuan Li

According to our database, Yuan Li authored at least 19 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Focused Contrastive Loss for Classification With Pre-Trained Language Models.

Jiayuan He, Yuan Li, Zenan Zhai, Biaoyan Fang, Camilo Thorne, Christian Druckenbrodt, Saber A. Akhondi, Karin Verspoor

IEEE Trans. Knowl. Data Eng., July, 2024

Principles from Clinical Research for NLP Model Generalization.

Aparna Elangovan, Jiayuan He, Yuan Li, Karin Verspoor

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023

Effects of Human Adversarial and Affable Samples on BERT Generalizability.

Aparna Elangovan, Estrid He, Yuan Li, Karin Verspoor

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Large-scale protein-protein post-translational modification extraction with distant supervision and confidence calibrated BioBERT.

Aparna Elangovan, Yuan Li, Douglas E. V. Pires, Melissa J. Davis, Karin Verspoor

BMC Bioinform., 2022

The ChEMU 2022 Evaluation Campaign: Information Extraction in Chemical Patents.

Yuan Li, Biaoyan Fang, Jiayuan He, Hiyori Yoshikawa, Saber A. Akhondi, Christian Druckenbrodt, Camilo Thorne, Zenan Zhai, Zubair Afzal, Trevor Cohn, Timothy Baldwin, Karin Verspoor

Proceedings of the Advances in Information Retrieval, 2022

Overview of ChEMU 2022 Evaluation Campaign: Information Extraction in Chemical Patents.

Yuan Li, Biaoyan Fang, Jiayuan He, Hiyori Yoshikawa, Saber A. Akhondi, Christian Druckenbrodt, Camilo Thorne, Zubair Afzal, Zenan Zhai, Timothy Baldwin, Karin Verspoor

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2022

Extended Overview of ChEMU 2022 Evaluation Campaign: Information Extraction in Chemical Patents.

Yuan Li, Biaoyan Fang, Jiayuan He, Hiyori Yoshikawa, Saber A. Akhondi, Christian Druckenbrodt, Camilo Thorne, Zubair Afzal, Zenan Zhai, Kojiro Machi, Masaharu Yoshioka, Youngrok Jang, Hosung Song, Junho Lee, Gyeonghun Kim, Yireun Kim, Stanley Jungkyu Choi, Honglak Lee, Kyunghoon Bae, Darshini Mahendran, Christina Tang, Bridget T. McInnes, Timothy Baldwin, Karin Verspoor

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

2021

ChEMU 2021: Reaction Reference Resolution and Anaphora Resolution in Chemical Patents.

Jiayuan He, Biaoyan Fang, Hiyori Yoshikawa, Yuan Li, Saber A. Akhondi, Christian Druckenbrodt, Camilo Thorne, Zubair Afzal, Zenan Zhai, Lawrence Cavedon, Trevor Cohn, Timothy Baldwin, Karin Verspoor

Proceedings of the Advances in Information Retrieval, 2021

Overview of ChEMU 2021: Reaction Reference Resolution and Anaphora Resolution in Chemical Patents.

Yuan Li, Biaoyan Fang, Jiayuan He, Hiyori Yoshikawa, Saber A. Akhondi, Christian Druckenbrodt, Camilo Thorne, Zubair Afzal, Zenan Zhai, Timothy Baldwin, Karin Verspoor

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2021

Extended Overview of ChEMU 2021: Reaction Reference Resolution and Anaphora Resolution in Chemical Patents.

Yuan Li, Biaoyan Fang, Jiayuan He, Hiyori Yoshikawa, Saber A. Akhondi, Christian Druckenbrodt, Camilo Thorne, Zubair Afzal, Zenan Zhai, Timothy Baldwin, Karin Verspoor

Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

2019

Probabilistic models for aggregating crowdsourced annotations.

Yuan Li

PhD thesis, 2019

Multilingual NER Transfer for Low-resource Languages.

Afshin Rahimi, Yuan Li, Trevor Cohn

CoRR, 2019

Truth Inference at Scale: A Bayesian Model for Adjudicating Highly Redundant Crowd Annotations.

Yuan Li, Benjamin I. P. Rubinstein, Trevor Cohn

Proceedings of the World Wide Web Conference, 2019

Exploiting Worker Correlation for Label Aggregation in Crowdsourcing.

Yuan Li, Benjamin I. P. Rubinstein, Trevor Cohn

Proceedings of the 36th International Conference on Machine Learning, 2019

Massively Multilingual Transfer for NER.

Afshin Rahimi, Yuan Li, Trevor Cohn

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2017

Finding lowest-cost paths in settings with safe and preferred zones.

Saad Aljubayrin, Jianzhong Qi, Christian S. Jensen, Rui Zhang, Zhen He, Yuan Li

VLDB J., 2017

Learning how to Active Learn: A Deep Reinforcement Learning Approach.

Meng Fang, Yuan Li, Trevor Cohn

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2015

Solving the data sparsity problem in destination prediction.

Andy Yuan Xue, Jianzhong Qi, Xing Xie, Rui Zhang, Jin Huang, Yuan Li

VLDB J., 2015

Destination Prediction by Identifying and Clustering Prominent Features from Public Trajectory Datasets.

Li Yang, Andy Yuan Xue, Yuan Li, Rui Zhang

EAI Endorsed Trans. Scalable Inf. Syst., 2015