Contextual Clarity: Generating Sentences with Transformer Models using Context-Reverso Data
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arXiv
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866929275772338176 |
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| author | Musaev, Ruslan |
| author_facet | Musaev, Ruslan |
| contents | 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 . |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2403_08103 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Contextual Clarity: Generating Sentences with Transformer Models using Context-Reverso Data Musaev, Ruslan Computation and Language Artificial Intelligence 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 . |
| title | Contextual Clarity: Generating Sentences with Transformer Models using Context-Reverso Data |
| topic | Computation and Language Artificial Intelligence |
| url | https://arxiv.org/abs/2403.08103 |