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08/02/2023
Can We Transfer Noise Patterns? An Multi-environment Spectrum Analysis Model Using Generated Cases
Spectrum analysis systems in online water quality testing are designed t...
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07/13/2023
Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations
Precisely recommending candidate news articles to users has always been ...
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06/13/2023
Topic-Centric Explanations for News Recommendation
News recommender systems (NRS) have been widely applied for online news ...
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06/12/2023
Enhancing Topic Extraction in Recommender Systems with Entropy Regularization
In recent years, many recommender systems have utilized textual data for...
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05/14/2023
Learning to Generalize for Cross-domain QA
There have been growing concerns regarding the out-of-domain generalizat...
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04/29/2023
Industry Classification Using a Novel Financial Time-Series Case Representation
The financial domain has proven to be a fertile source of challenging ma...
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03/14/2022
A Novel Perspective to Look At Attention: Bi-level Attention-based Explainable Topic Modeling for News Classification
Many recent deep learning-based solutions have widely adopted the attent...
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01/05/2022
NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial Forecasting
Financial forecasting has been an important and active area of machine l...
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07/16/2021
Pseudo-labelling Enhanced Media Bias Detection
Leveraging unlabelled data through weak or distant supervision is a comp...
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07/07/2021
Measuring Financial Time Series Similarity With a View to Identifying Profitable Stock Market Opportunities
Forecasting stock returns is a challenging problem due to the highly sto...
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06/29/2021
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis
While state-of-the-art NLP models have been achieving the excellent perf...
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06/29/2021
Fact Check: Analyzing Financial Events from Multilingual News Sources
The explosion in the sheer magnitude and complexity of financial news da...
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03/26/2021
Heterogeneous Graph Neural Networks for Multi-label Text Classification
Multi-label text classification (MLTC) is an attractive and challenging ...
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10/23/2020
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification
Corporate mergers and acquisitions (M A) account for billions of dolla...
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02/13/2019
