Rongdi Yin — accepted AI-conference papers

2021

Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment Analysis with Affective Knowledge

Bin Liang, Hang Su, Rongdi Yin, Lin Gui, Min Yang, Qin Zhao +2

EMNLP 2021main

In this paper, we investigate the Aspect Category Sentiment Analysis (ACSA) task from a novel perspective by exploring a Beta Distribution guided aspect-aware graph construction based on external knowledge. That is, we are no longer entangled about how to laboriously search the sentiment clues for c…

Cited by 26 Source ↗PDF ↗code ↗Scholar ↗

2020

Jointly Learning Aspect-Focused and Inter-Aspect Relations with Graph Convolutional Networks for Aspect Sentiment Analysis

Bin Liang, Rongdi Yin, Lin Gui, Jiachen Du, Ruifeng Xu

COLING 2020main

In this paper, we explore a novel solution of constructing a heterogeneous graph for each instance by leveraging aspect-focused and inter-aspect contextual dependencies for the specific aspect and propose an Interactive Graph Convolutional Networks (InterGCN) model for aspect sentiment analysis. Spe…

Cited by 122 Source ↗PDF ↗code ↗Scholar ↗