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Information Aggregation via Dynamic Routing for Sequence Encoding
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AbstractAspect-level sentiment classification is a crucial task for sentiment analysis, which aims to identify the sentiment polarities of specific targets in their context. The main challenge comes from multi-aspect sentences, …...
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Joint Slot Filling and Intent Detection via Capsule Neural Networks
AbstractBeing able to recognize words as slots and detect the intent of an utterance has been a keen issue in natural language understanding. The existing works either treat slot filling …...
Regularized Attentive Capsule Network for Overlapped Relation Extraction
AbstractDistantly supervised relation extraction has been widely applied in knowledge base construction due to its less requirement of human efforts. However, the automatically established training datasets in distant supervision contain …...
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks
AbstractThis paper studies continual learning (CL) of a sequence of aspect sentiment classification (ASC) tasks. Although some CL techniques have been proposed for document sentiment classification, we are not aware …...
BDCN: Semantic Embedding Self-explanatory Breast Diagnostic Capsules Network
AbstractBuilding an interpretable AI diagnosis system for breast cancer is an important embodiment ofAI assisted medicine. Traditional breast cancer diagnosis methods based on machine learning areeasy to explain but the …...