Sbert-wk: A sentence embedding method by dissecting bert-based word models

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Impact of word embedding models on text analytics in deep learning environment: a review

DS Asudani, NK Nagwani, P Singh - Artificial intelligence review, 2023 - Springer
The selection of word embedding and deep learning models for better outcomes is vital.
Word embeddings are an n-dimensional distributed representation of a text that attempts to …
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An overview on language models: Recent developments and outlook

C Wei, YC Wang, B Wang, CCJ Kuo - ar**s: Automatic generation of out-of-context multimodal media
G Luo, T Darrell, A Rohrbach - arxiv preprint arxiv:2104.05893, 2021 - arxiv.org
Online misinformation is a prevalent societal issue, with adversaries relying on tools ranging
from cheap fakes to sophisticated deep fakes. We are motivated by the threat scenario …
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Speechformer++: A hierarchical efficient framework for paralinguistic speech processing

W Chen, X **ng, X Xu, J Pang… - IEEE/ACM Transactions …, 2023 - ieeexplore.ieee.org
Paralinguistic speech processing is important in addressing many issues, such as sentiment
and neurocognitive disorder analyses. Recently, Transformer has achieved remarkable …
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