Yuan Li

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

J He, B Fang, H Yoshikawa, Y Li, SA Akhondi, C Druckenbrodt, C Thorne, Z Afzal, Z Zhai, L Cavedon, T Cohn, T Baldwin, K Verspoor

Book Chapter  |  2021  |  Lecture Notes in Computer Science

Chemical patents serve as an indispensable source of information about new discoveries of chemical compounds. The ChEMU (Cheminfor..

Truth inference at scale: A Bayesian model for adjudicating highly redundant crowd annotations

Y Li, BIP Rubinstein, T Cohn

Conference Proceedings  |  2019

Crowd-sourcing is a cheap and popular means of creating training and evaluation datasets for machine learning, however it poses th..

Massively Multilingual Transfer for NER

Afshin Rahimi, Yuan Li, Trevor Cohn

Conference Proceedings  |  2019  |  Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

In cross-lingual transfer, NLP models over one or more source languages are applied to a lowresource target language. While most p..

Exploiting worker correlation for label aggregation in crowdsourcing

Y Li, BIP Rubinstein, T Cohn

Conference Proceedings  |  2019  |  36th International Conference on Machine Learning, ICML 2019

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

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

Journal article  |  2017  |  VLDB JOURNAL

We define and study Euclidean and spatial network variants of a new path finding problem: given a set of safe or preferred zones w..

Learning how to Active Learn: A Deep Reinforcement Learning Approach

Meng Fang, Yuan Li, Trevor Cohn

Conference Proceedings  |  2017  |  Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, EMNLP 2017, Copenhagen, Denmark, September 9-11, 2017

Active learning aims to select a small subset of data for annotation such that a classifier learned on the data is highly accurate..

Solving the data sparsity problem in destination prediction

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

Journal article  |  2015  |  VLDB JOURNAL

Destination prediction is an essential task for many emerging location-based applications such as recommending sightseeing places ..