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NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial Forecasting

Jan 05, 2022
Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth

* Accepted to AAAI-22 

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Pseudo-labelling Enhanced Media Bias Detection

Jul 16, 2021
Qin Ruan, Brian Mac Namee, Ruihai Dong

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Measuring Financial Time Series Similarity With a View to Identifying Profitable Stock Market Opportunities

Jul 07, 2021
Rian Dolphin, Barry Smyth, Yang Xu, Ruihai Dong

* 15 pages. Accepted for presentation at the International Conference on Case-Based Reasoning 2021 (ICCBR) 

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Fact Check: Analyzing Financial Events from Multilingual News Sources

Jun 30, 2021
Linyi Yang, Tin Lok James Ng, Barry Smyth, Ruihai Dong

* Demo 

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Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis

Jun 30, 2021
Linyi Yang, Jiazheng Li, Pádraig Cunningham, Yue Zhang, Barry Smyth, Ruihai Dong

* ACL-21, Main Conference, Long Paper 

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Heterogeneous Graph Neural Networks for Multi-label Text Classification

Mar 26, 2021
Irene Li, Tianxiao Li, Yixin Li, Ruihai Dong, Toyotaro Suzumura

* 8 tables, 4 figures 

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Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification

Oct 23, 2020
Linyi Yang, Eoin M. Kenny, Tin Lok James Ng, Yi Yang, Barry Smyth, Ruihai Dong

* Accepted by COLING-20 (Oral) 

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Explainable Text-Driven Neural Network for Stock Prediction

Feb 13, 2019
Linyi Yang, Zheng Zhang, Su Xiong, Lirui Wei, James Ng, Lina Xu, Ruihai Dong

* 2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems 
* 10 pages, Proceedings of CCIS2018 

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