149 citations · 218 across the 53 of their papers we have counts for
6 papers · 1 filter
Emotional Conversation Generation with Heterogeneous Graph Neural Network
Yunlong Liang, Fandong Meng, Ying Zhang +3
The successful emotional conversation system depends on sufficient perception and appropriate expression of emotions. In a real-life conversation, humans firstly instinctively perc…
Modeling Inter-Aspect Dependencies with a Non-temporal Mechanism for Aspect-Based Sentiment Analysis
Yunlong Liang, Fandong Meng, Jinchao Zhang +3
For multiple aspects scenario of aspect-based sentiment analysis (ABSA), existing approaches typically ignore inter-aspect relations or rely on temporal dependencies to process asp…
A Dependency Syntactic Knowledge Augmented Interactive Architecture for End-to-End Aspect-based Sentiment Analysis
Yunlong Liang, Fandong Meng, Jinchao Zhang +3
The aspect-based sentiment analysis (ABSA) task remains to be a long-standing challenge, which aims to extract the aspect term and then identify its sentiment orientation.In previo…
Faster Depth-Adaptive Transformers
Yijin Liu, Fandong Meng, Jie Zhou +2
Depth-adaptive neural networks can dynamically adjust depths according to the hardness of input words, and thus improve efficiency. The main challenge is how to measure such hardne…
An Iterative Multi-Knowledge Transfer Network for Aspect-Based Sentiment Analysis
Yunlong Liang, Fandong Meng, Jinchao Zhang +3
Aspect-based sentiment analysis (ABSA) mainly involves three subtasks: aspect term extraction, opinion term extraction, and aspect-level sentiment classification, which are typical…
Depth-Adaptive Graph Recurrent Network for Text Classification
Yijin Liu, Fandong Meng, Yufeng Chen +2
The Sentence-State LSTM (S-LSTM) is a powerful and high efficient graph recurrent network, which views words as nodes and performs layer-wise recurrent steps between them simultane…