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Manual text summarization is impractical and time-consuming. Therefore, the development of automatic text summarizers has become an interesting topic in Natural Language Processing (NLP). Pre-trained ...
The growing volume of textual data across various domains has led to the increasing demand for efficient and accurate text processing systems. This research proposes a transformer-based pipeline that ...
3 Results The results of clustering using the proposed transformer-based embedding method are presented as a confusion matrix in Table 1. Each item from the IPIP-50 was encoded into a semantic vector ...
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