Капсула желісі

method ID: capsulenetwork

Related Papers

Information Aggregation via Dynamic Routing for Sequence Encoding

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractWhile much progress has been made in how to encode a text sequence into a sequence of vectors, less attention has been paid to how to aggregate these preceding vectors …...

5286

Capsule Network with Interactive Attention for Aspect-Level Sentiment Classification

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

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, …...

8964

Emoji Powered Capsule Network to Detect Type and Target of Offensive Posts in Social Media

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractThis paper describes a novel research approach to detect type and target of offensive posts in social media using a capsule network. The input to the network was character embeddings …...

19760

Joint Slot Filling and Intent Detection via Capsule Neural Networks

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

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 …...

39445

Regularized Attentive Capsule Network for Overlapped Relation Extraction

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

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 …...

3807

Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

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 …...

21444

BDCN: Semantic Embedding Self-explanatory Breast Diagnostic Capsules Network

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

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 …...

5560