activity
20192023
most citedLearning to Detect Opinion Snippet for Aspect-Based Sentiment Analysis

3 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2023★ 1 cited

Hi Sheldon! Creating Deep Personalized Characters from TV Shows

Meidai Xuanyuan, Yuwang Wang, Honglei Guo +4

Imagine an interesting multimodal interactive scenario that you can see, hear, and chat with an AI-generated digital character, who is capable of behaving like Sheldon from The Big…

cs.CL2021

Efficient Mind-Map Generation via Sequence-to-Graph and Reinforced Graph Refinement

Mengting Hu, Honglei Guo, Shiwan Zhao +2

A mind-map is a diagram that represents the central concept and key ideas in a hierarchical way. Converting plain text into a mind-map will reveal its key semantic structure and be…

cs.CL2021★ 2 cited

Multi-Label Few-Shot Learning for Aspect Category Detection

Mengting Hu, Shiwan Zhao, Honglei Guo +5

Aspect category detection (ACD) in sentiment analysis aims to identify the aspect categories mentioned in a sentence. In this paper, we formulate ACD in the few-shot learning scena…

cs.CL2019★ 3 cited

Learning to Detect Opinion Snippet for Aspect-Based Sentiment Analysis

Mengting Hu, Shiwan Zhao, Honglei Guo +2

Aspect-based sentiment analysis (ABSA) is to predict the sentiment polarity towards a particular aspect in a sentence. Recently, this task has been widely addressed by the neural a…

cs.CL2019★ 2 cited

Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification

Mengting Hu, Yike Wu, Shiwan Zhao +3

Cross-domain sentiment classification has drawn much attention in recent years. Most existing approaches focus on learning domain-invariant representations in both the source and t…