AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 2 of 12 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
It is hypothesised that contextual embeddings can complement frequency dynamics to effectively track diachronic semantic change, and frequency and embedding-based approaches across Astrophysics and NLP corpora spanning from 2010 to 2024 are compared.
Results indicate that patent sections provide effective self-supervised positive views for learning dense patent representations, and section-pair training improves compatibility among abstracts, claims, and descriptions of the same invention.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.