research
∙
06/05/2023
Uncertainty in Natural Language Processing: Sources, Quantification, and Applications
As a main field of artificial intelligence, natural language processing ...
share
research
∙
06/01/2023
Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction
Recently, aspect sentiment quad prediction has received widespread atten...
research
∙
05/29/2023
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition
Most named entity recognition (NER) systems focus on improving model per...
research
∙
10/19/2022
Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentation
Recently, aspect sentiment quad prediction (ASQP) has become a popular t...
research
∙
09/14/2022
Classical Sequence Match is a Competitive Few-Shot One-Class Learner
Nowadays, transformer-based models gradually become the default choice f...
research
∙
09/06/2021
Efficient Mind-Map Generation via Sequence-to-Graph and Reinforced Graph Refinement
A mind-map is a diagram that represents the central concept and key idea...
research
∙
05/29/2021
Multi-Label Few-Shot Learning for Aspect Category Detection
Aspect category detection (ACD) in sentiment analysis aims to identify t...
research
∙
02/01/2021
Hierarchical Ranking for Answer Selection
Answer selection is a task to choose the positive answers from a pool of...
research
∙
09/25/2019
Learning to Detect Opinion Snippet for Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) is to predict the sentiment polar...
research
∙
08/24/2019
Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification
Cross-domain sentiment classification has drawn much attention in recent...
research
∙
12/27/2018