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- W3197261271 abstract "Recent researches have demonstrated that BERT shows potential in a wide range of natural language processing tasks. It is adopted as an encoder for many state-of-the-art automatic summarizing systems, which achieve excellent performance. However, so far, there is not much work done for Vietnamese. In this paper, we showcase how BERT can be implemented for extractive text summarization in Vietnamese. We introduce a novel comparison between different multilingual and monolingual BERT models. The experiment results indicate that monolingual models produce promising results compared to other multilingual models and previous text summarizing models for Vietnamese." @default.
- W3197261271 created "2021-09-13" @default.
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- W3197261271 date "2021-08-31" @default.
- W3197261271 modified "2023-09-27" @default.
- W3197261271 title "Monolingual versus Multilingual BERTology for Vietnamese Extractive Multi-Document Summarization" @default.
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