3 citations · 7 across the 6 of their papers we have counts for
8 papers
Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentation
Mengting Hu, Yike Wu, Hang Gao +2
Recently, aspect sentiment quad prediction (ASQP) has become a popular task in the field of aspect-level sentiment analysis. Previous work utilizes a predefined template to paraphr…
Classical Sequence Match is a Competitive Few-Shot One-Class Learner
Mengting Hu, Hang Gao, Yinhao Bai +1
Nowadays, transformer-based models gradually become the default choice for artificial intelligence pioneers. The models also show superiority even in the few-shot scenarios. In thi…
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…
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…
Hierarchical Ranking for Answer Selection
Hang Gao, Mengting Hu, Renhong Cheng +1
Answer selection is a task to choose the positive answers from a pool of candidate answers for a given question. In this paper, we propose a novel strategy for answer selection, ca…
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…