arXiv:1905.09103
Neural-Symbolic Argumentation Mining: an Argument in Favor of Deep Learning and Reasoning
원문 초록
Deep learning is bringing remarkable contributions to the field of argumentation mining, but the existing approaches still need to fill the gap toward performing advanced reasoning tasks. In this position paper, we posit that neural-symbolic and statistical relational learning could play a crucial role in the integration of symbolic and sub-symbolic methods to achieve this goal.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Open-World Social Event Classification
EasySpider: A No-Code Visual System for Crawling the Web
Leveraging Context for Multimodal Fallacy Classification in Political Debates
Car Object Counting and Position Estimation via Extension of the CLIP-EBC Framework
Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs
Demystifying Distributed Training of Graph Neural Networks for Link Prediction
토론
이 논문과 연결된 포럼 글이 아직 없습니다.