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Apr 13, 2023 · In this paper, we focus on short text expansion based on multi-granularity and explore to construct an EBLI (Enhancing BERT with Latent Information) model.
Apr 13, 2023 · In this paper, we focus on short text expansion based on multi-granularity and explore to construct an EBLI (Enhancing BERT with Latent ...
In this paper, we focus on short text expansion based on multi-granularity and explore to construct an EBLI (Enhancing BERT with Latent Information) model by ...
Article "Enhancing BERT for Short Text Classification with Latent Information" Detailed information of the J-GLOBAL is an information service managed by the ...
Jul 9, 2024 · BERT is a multi-layered encoder. In this blog learn about BERT transformers and its applications and text classification using BERT.
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Feb 21, 2024 · In this article, we'll dive into using a pre-trained BERT model to tackle a classic NLP challenge: binary text classification.
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From the results it can be observed that the technique has potential to perform text classification as well as the traditional BOW approaches. Moreover a ...
Aug 11, 2023 · The classification of the STGCN is significantly enhanced by the combination of STGCN with BERT and a Bi-LSTM. Graph neural network-based ...
Jan 23, 2023 · Qin et al. [4] proposed a feature projection layer to eliminate the redundant information of features and improve the quality of features.
Jun 20, 2022 · In this article, we will focus on BERT and learn how we can use a pre-trained BERT model to perform text classification.