40 citations · 82 across the 15 of their papers we have counts for
5 papers · 1 filter
A Multimodal Embedding-Based Approach to Industry Classification in Financial Markets
Rian Dolphin, Barry Smyth, Ruihai Dong
Industry classification schemes provide a taxonomy for segmenting companies based on their business activities. They are relied upon in industry and academia as an integral compone…
A Novel Perspective to Look At Attention: Bi-level Attention-based Explainable Topic Modeling for News Classification
Dairui Liu, Derek Greene, Ruihai Dong
Many recent deep learning-based solutions have widely adopted the attention-based mechanism in various tasks of the NLP discipline. However, the inherent characteristics of deep le…
Stock Embeddings: Learning Distributed Representations for Financial Assets
Rian Dolphin, Barry Smyth, Ruihai Dong
Identifying meaningful relationships between the price movements of financial assets is a challenging but important problem in a variety of financial applications. However with rec…
NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial Forecasting
Linyi Yang, Jiazheng Li, Ruihai Dong +2
Financial forecasting has been an important and active area of machine learning research because of the challenges it presents and the potential rewards that even minor improvement…
Learning to Compose Diversified Prompts for Image Emotion Classification
Sinuo Deng, Lifang Wu, Ge Shi +3
Contrastive Language-Image Pre-training (CLIP) represents the latest incarnation of pre-trained vision-language models. Although CLIP has recently shown its superior power on a wid…