Guangtao Wang

Margin Based PU Learning

2018 · Proceedings of the AAAI Conference on Artificial Intelligence

The PU learning problem concerns about learning from positive and unlabeled data. A popular heuristic is to iteratively enlarge training set based on some margin-based criterion. However, little theoretical analysis has been conducted to support …

Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification

2021

Recent work on aspect-level sentiment classification has employed Graph Convolutional Networks (GCN) over dependency trees to learn interactions between aspect terms and opinion words. In some cases, the corresponding opinion words for an aspect term …

Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs

2019

Multi-hop reading comprehension (RC) across documents poses new challenge over single-document RC because it requires reasoning over multiple documents to reach the final answer. In this paper, we propose a new model to tackle the …