Contextual Clarity: Generating Sentences with Transformer Models using Context-Reverso Data
<|reference_start|>Contextual Clarity: Generating Sentences with Transformer Models using Context-Reverso Data: 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 code is available at https://github.com/Rusamus/word2context/tree/main .<|reference_end|>
@article{musaev2024contextual,
    title={Contextual Clarity: Generating Sentences with Transformer Models using
  Context-Reverso Data},
    author={Ruslan Musaev},
    journal={arXiv preprint arXiv:2403.08103},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.08103},
    primaryClass={cs.CL cs.AI}
}