Contextual Clarity: Generating Sentences with Transformer Models using Context-Reverso Data

arXiv:2403.08103v1 Announce Type: new
Abstract: In the age of information abundance, the ability to provide users with contextually relevant and concise information is crucial. Keyword in Context (KIC) generation is a task that plays a vital role in and generation applications, such as search engines, personal assistants, and content summarization. In this paper, we present a novel approach to generating unambiguous and brief sentence-contexts for given keywords using the T5 transformer model, leveraging data obtained from the Context-Reverso API. The …

arxiv context cs.ai cs.cl data transformer transformer models type