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 ...

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… ...

Graph attention networks can better focus on feature nodes that are more relevant to classification tasks to extract richer semantic information. Experimental results on five text classification ...

OpenAI is launching a new text-to-video model called Sora. The AI model is capable of producing a video based on a text prompt. It can create videos up to one minute long.

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 ...

Overall, it seems like the model's strength is placing the nuances of human speech in its output. What often gives AI voices away is their monotony, making the output sound quite boring to listen to.

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 ...