[HTML][HTML] Neural, symbolic and neural-symbolic reasoning on knowledge graphs
Abstract Knowledge graph reasoning is the fundamental component to support machine
learning applications such as information extraction, information retrieval, and …
learning applications such as information extraction, information retrieval, and …
A survey on complex knowledge base question answering: Methods, challenges and solutions
Y Lan, G He, J Jiang, J Jiang, WX Zhao… - ar** a Vietnamese tourism question answering system using knowledge graph and deep learning
In recent years, Question Answering (QA) systems have increasingly become very popular
in many sectors. This study aims to use a knowledge graph and deep learning to develop a …
in many sectors. This study aims to use a knowledge graph and deep learning to develop a …
Leveraging text-to-text pretrained language models for question answering in chemistry
In this study, we present a question answering (QA) system for chemistry, named Marie, with
the use of a text-to-text pretrained language model to attain accurate data retrieval. The …
the use of a text-to-text pretrained language model to attain accurate data retrieval. The …