25 citations · 130 across the 24 of their papers we have counts for
13 papers · 1 filter
Better Zero-Shot Reasoning with Role-Play Prompting
Aobo Kong, Shiwan Zhao, Hao Chen +6
Modern large language models (LLMs) exhibit a remarkable capacity for role-playing, enabling them to embody not only human characters but also non-human entities. This versatility…
Uncertainty in Natural Language Processing: Sources, Quantification, and Applications
Mengting Hu, Zhen Zhang, Shiwan Zhao +2
As a main field of artificial intelligence, natural language processing (NLP) has achieved remarkable success via deep neural networks. Plenty of NLP tasks have been addressed in a…
Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction
Mengting Hu, Yinhao Bai, Yike Wu +5
Recently, aspect sentiment quad prediction has received widespread attention in the field of aspect-based sentiment analysis. Existing studies extract quadruplets via pre-trained g…
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition
Zhen Zhang, Mengting Hu, Shiwan Zhao +6
Most named entity recognition (NER) systems focus on improving model performance, ignoring the need to quantify model uncertainty, which is critical to the reliability of NER syste…
MADI: Inter-domain Matching and Intra-domain Discrimination for Cross-domain Speech Recognition
Jiaming Zhou, Shiwan Zhao, Ning Jiang +2
End-to-end automatic speech recognition (ASR) usually suffers from performance degradation when applied to a new domain due to domain shift. Unsupervised domain adaptation (UDA) ai…
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…
Overcoming Language Priors in Visual Question Answering via Distinguishing Superficially Similar Instances
Yike Wu, Yu Zhao, Shiwan Zhao +4
Despite the great progress of Visual Question Answering (VQA), current VQA models heavily rely on the superficial correlation between the question type and its corresponding freque…
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…
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…
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…
Improving Captioning for Low-Resource Languages by Cycle Consistency
Yike Wu, Shiwan Zhao, Jia Chen +3
Improving the captioning performance on low-resource languages by leveraging English caption datasets has received increasing research interest in recent years. Existing works main…
CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis
Mengting Hu, Shiwan Zhao, Li Zhang +4
Aspect level sentiment classification is a fine-grained sentiment analysis task. To detect the sentiment towards a particular aspect in a sentence, previous studies have developed…