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Learning to Predict U.S. Policy Change Using New York Times Corpus with Pre-Trained Language Model
Learning to Predict U.S. Policy Change Using New York Times Corpus with Pre-Trained Language Model
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Learning to Predict U.S. Policy Change Using New York Times Corpus with Pre-Trained Language Model

Zhang, Guoshuai ; Wu, Jiaji ; Tan, Mingzhou ; Yang, Zhongjie ; Cheng, Qingyu ; Han, Hong

Multimedia tools and applications, 2020-12, Vol.79 (45-46), p.34227-34240 [Periódico revisado por pares]

New York: Springer US

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2
Predictive approaches for the UNIX command line: curating and exploiting domain knowledge in semantics deficit data
Predictive approaches for the UNIX command line: curating and exploiting domain knowledge in semantics deficit data
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Predictive approaches for the UNIX command line: curating and exploiting domain knowledge in semantics deficit data

Singh, Thoudam Doren ; Khilji, Abdullah Faiz Ur Rahman ; Divyansha ; Singh, Apoorva Vikram ; Thokchom, Surmila ; Bandyopadhyay, Sivaji

Multimedia tools and applications, 2021-03, Vol.80 (6), p.9209-9229 [Periódico revisado por pares]

New York: Springer US

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3
FakeBERT: Fake news detection in social media with a BERT-based deep learning approach
FakeBERT: Fake news detection in social media with a BERT-based deep learning approach
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FakeBERT: Fake news detection in social media with a BERT-based deep learning approach

Kaliyar, Rohit Kumar ; Goswami, Anurag ; Narang, Pratik

Multimedia tools and applications, 2021-03, Vol.80 (8), p.11765-11788 [Periódico revisado por pares]

New York: Springer US

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4
Incremental BERT with commonsense representations for multi-choice reading comprehension
Incremental BERT with commonsense representations for multi-choice reading comprehension
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Incremental BERT with commonsense representations for multi-choice reading comprehension

Li, Ronghan ; Wang, Lifang ; Jiang, Zejun ; Liu, Dong ; Zhao, Meng ; Lu, Xinyu

Multimedia tools and applications, 2021-09, Vol.80 (21-23), p.32311-32333 [Periódico revisado por pares]

New York: Springer US

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5
A semi-supervised model for Persian rumor verification based on content information
A semi-supervised model for Persian rumor verification based on content information
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A semi-supervised model for Persian rumor verification based on content information

Jahanbakhsh-Nagadeh, Zoleikha ; Feizi-Derakhshi, Mohammad-Reza ; Sharifi, Arash

Multimedia tools and applications, 2021-11, Vol.80 (28-29), p.35267-35295 [Periódico revisado por pares]

New York: Springer US

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6
A hybrid approach of Weighted Fine-Tuned BERT extraction with deep Siamese Bi – LSTM model for semantic text similarity identification
A hybrid approach of Weighted Fine-Tuned BERT extraction with deep Siamese Bi – LSTM model for semantic text similarity identification
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A hybrid approach of Weighted Fine-Tuned BERT extraction with deep Siamese Bi – LSTM model for semantic text similarity identification

Viji, D. ; Revathy, S.

Multimedia tools and applications, 2022-02, Vol.81 (5), p.6131-6157 [Periódico revisado por pares]

New York: Springer US

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7
CB-Fake: A multimodal deep learning framework for automatic fake news detection using capsule neural network and BERT
CB-Fake: A multimodal deep learning framework for automatic fake news detection using capsule neural network and BERT
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CB-Fake: A multimodal deep learning framework for automatic fake news detection using capsule neural network and BERT

Palani, Balasubramanian ; Elango, Sivasankar ; Viswanathan K, Vignesh

Multimedia tools and applications, 2022-02, Vol.81 (4), p.5587-5620 [Periódico revisado por pares]

New York: Springer US

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8
Deep text clustering using stacked AutoEncoder
Deep text clustering using stacked AutoEncoder
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Deep text clustering using stacked AutoEncoder

Hosseini, Soodeh ; Varzaneh, Zahra Asghari

Multimedia tools and applications, 2022-03, Vol.81 (8), p.10861-10881 [Periódico revisado por pares]

New York: Springer US

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9
An effective strategy for multi-modal fake news detection
An effective strategy for multi-modal fake news detection
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An effective strategy for multi-modal fake news detection

Peng, Xu ; Xintong, Bao

Multimedia tools and applications, 2022-04, Vol.81 (10), p.13799-13822 [Periódico revisado por pares]

New York: Springer US

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10
A mixed unsupervised method for aspect extraction using BERT
A mixed unsupervised method for aspect extraction using BERT
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A mixed unsupervised method for aspect extraction using BERT

Chauhan, Ganpat Singh ; Meena, Yogesh Kumar ; Gopalani, Dinesh ; Nahta, Ravi

Multimedia tools and applications, 2022-09, Vol.81 (22), p.31881-31906 [Periódico revisado por pares]

New York: Springer US

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