Our text analytics process takes links and names directly from GraphDB, so we can get millions of facts very quickly.” “Graph databases are particularly good at disambiguation,” explained Kryakov.

Convert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA - rahulnyk/knowledge_graph. ... which crushes this use case wonderfully. The ...

Please cite our work if you like or are using our codes for your projects! Kun Xu, Lingfei Wu, Zhiguo Wang, Mo Yu, Liwei Chen, Vadim Sheinin, "SQL-to-Text Generation with Graph-to-Sequence Model", In ...

Abstract: We propose a text classification model based on dependency graph attention convolution, which improves the model’s accurate recognition of the text category by mining the semantic features ...

Accurate classification of medical disease text plays an influential role in promoting the development of medical informatization. In view of the sparseness, real-time and non-standard characteristics ...

Bark is a universal text-to-audio model that can not only create realistic speech, it can incorporate music, background noises, and sound effects. It can even include non-speech sounds like laughte… ...

Software engineer Eric Sun has revealed the evolution of Facebook’s Entity Graph, a complicated data set which maps the social network’s 100+ billion connections between people, places and ...

You can gather a substantial amount of text and utilizing an LLM to do the natural language ingestion heavy lifting, you can create a knowledge graph that will help you make the most sense out of ...

Snap has unveiled an AI text-to-image research model for mobile devices that will power some of Snapchat’s features in the coming months. The company said on Tuesday that the model can produce ...