158 citations · 224 across the 7 of their papers we have counts for
12 papers
Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks
Lichao Sun, Congying Xia, Wenpeng Yin +3
Mixup is the latest data augmentation technique that linearly interpolates input examples and the corresponding labels. It has shown strong effectiveness in image classification by…
Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation
Zhongfen Deng, Hao Peng, Congying Xia +3
Review rating prediction of text reviews is a rapidly growing technology with a wide range of applications in natural language processing. However, most existing methods either use…
Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection
Hoang Nguyen, Chenwei Zhang, Congying Xia +1
Few-shot Intent Detection is challenging due to the scarcity of available annotated utterances. Although recent works demonstrate that multi-level matching plays an important role…
Composed Variational Natural Language Generation for Few-shot Intents
Congying Xia, Caiming Xiong, Philip Yu +1
In this paper, we focus on generating training examples for few-shot intents in the realistic imbalanced scenario. To build connections between existing many-shot intents and few-s…
Joint Training Capsule Network for Cold Start Recommendation
Tingting Liang, Congying Xia, Yuyu Yin +1
This paper proposes a novel neural network, joint training capsule network (JTCN), for the cold start recommendation task. We propose to mimic the high-level user preference other…
CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection
Congying Xia, Chenwei Zhang, Hoang Nguyen +2
In this paper, we formulate a more realistic and difficult problem setup for the intent detection task in natural language understanding, namely Generalized Few-Shot Intent Detecti…