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1
The neural architecture of language: Integrative modeling converges on predictive processing
The neural architecture of language: Integrative modeling converges on predictive processing
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The neural architecture of language: Integrative modeling converges on predictive processing

Proceedings of the National Academy of Sciences - PNAS, 2021-11, Vol.118 (45), p.1 [Peer Reviewed Journal]

Copyright National Academy of Sciences Nov 9, 2021 ;2021 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.2105646118 ;PMID: 34737231

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2
Sentiment of Emojis
Sentiment of Emojis
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Sentiment of Emojis

PloS one, 2015-12, Vol.10 (12), p.e0144296-e0144296 [Peer Reviewed Journal]

COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Kralj Novak et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2015 Kralj Novak et al 2015 Kralj Novak et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0144296 ;PMID: 26641093

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3
BioWordVec, improving biomedical word embeddings with subword information and MeSH
BioWordVec, improving biomedical word embeddings with subword information and MeSH
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BioWordVec, improving biomedical word embeddings with subword information and MeSH

Scientific data, 2019-05, Vol.6 (1), p.52-52, Article 52 [Peer Reviewed Journal]

This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2019 ;ISSN: 2052-4463 ;EISSN: 2052-4463 ;DOI: 10.1038/s41597-019-0055-0 ;PMID: 31076572

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4
Protein design and variant prediction using autoregressive generative models
Protein design and variant prediction using autoregressive generative models
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Protein design and variant prediction using autoregressive generative models

Nature communications, 2021-04, Vol.12 (1), p.2403-2403, Article 2403 [Peer Reviewed Journal]

The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2021 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-021-22732-w ;PMID: 33893299

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5
A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis
A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis
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A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis

PloS one, 2021-02, Vol.16 (2), p.e0245909-e0245909 [Peer Reviewed Journal]

COPYRIGHT 2021 Public Library of Science ;COPYRIGHT 2021 Public Library of Science ;2021 Rustam et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 Rustam et al 2021 Rustam et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0245909 ;PMID: 33630869

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6
SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach
SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach
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SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach

PloS one, 2019-05, Vol.14 (5), p.e0216456-e0216456 [Peer Reviewed Journal]

COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Mousavi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 Mousavi et al 2019 Mousavi et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0216456 ;PMID: 31063501

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7
Public discourse and sentiment during the COVID 19 pandemic: Using Latent Dirichlet Allocation for topic modeling on Twitter
Public discourse and sentiment during the COVID 19 pandemic: Using Latent Dirichlet Allocation for topic modeling on Twitter
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Public discourse and sentiment during the COVID 19 pandemic: Using Latent Dirichlet Allocation for topic modeling on Twitter

PloS one, 2020-09, Vol.15 (9), p.e0239441-e0239441 [Peer Reviewed Journal]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Xue et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020 Xue et al 2020 Xue et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0239441 ;PMID: 32976519

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8
A hierarchy of linguistic predictions during natural language comprehension
A hierarchy of linguistic predictions during natural language comprehension
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A hierarchy of linguistic predictions during natural language comprehension

Proceedings of the National Academy of Sciences - PNAS, 2022-08, Vol.119 (32), p.e2201968119-e2201968119 [Peer Reviewed Journal]

Copyright National Academy of Sciences Aug 9, 2022 ;Copyright © 2022 the Author(s). Published by PNAS. 2022 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.2201968119 ;PMID: 35921434

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9
Continuous Distributed Representation of Biological Sequences for Deep Proteomics and Genomics
Continuous Distributed Representation of Biological Sequences for Deep Proteomics and Genomics
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Continuous Distributed Representation of Biological Sequences for Deep Proteomics and Genomics

PloS one, 2015-11, Vol.10 (11), p.e0141287-e0141287 [Peer Reviewed Journal]

COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Asgari, Mofrad. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2015 Asgari, Mofrad 2015 Asgari, Mofrad ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0141287 ;PMID: 26555596

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10
Forecasting stock prices with long-short term memory neural network based on attention mechanism
Forecasting stock prices with long-short term memory neural network based on attention mechanism
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Forecasting stock prices with long-short term memory neural network based on attention mechanism

PloS one, 2020-01, Vol.15 (1), p.e0227222-e0227222 [Peer Reviewed Journal]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Qiu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020 Qiu et al 2020 Qiu et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0227222 ;PMID: 31899770

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11
Multi-class sentiment analysis of urdu text using multilingual BERT
Multi-class sentiment analysis of urdu text using multilingual BERT
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Multi-class sentiment analysis of urdu text using multilingual BERT

Scientific reports, 2022-03, Vol.12 (1), p.5436-5436, Article 5436 [Peer Reviewed Journal]

2022. The Author(s). ;The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2022 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-022-09381-9 ;PMID: 35361890

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12
Predicting Fluctuations in Cryptocurrency Transactions Based on User Comments and Replies
Predicting Fluctuations in Cryptocurrency Transactions Based on User Comments and Replies
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Predicting Fluctuations in Cryptocurrency Transactions Based on User Comments and Replies

PloS one, 2016-08, Vol.11 (8), p.e0161197-e0161197 [Peer Reviewed Journal]

COPYRIGHT 2016 Public Library of Science ;COPYRIGHT 2016 Public Library of Science ;2016 Kim et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2016 Kim et al 2016 Kim et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0161197 ;PMID: 27533113

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13
The neural basis of language development: Changes in lateralization over age
The neural basis of language development: Changes in lateralization over age
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The neural basis of language development: Changes in lateralization over age

Proceedings of the National Academy of Sciences - PNAS, 2020-09, Vol.117 (38), p.23477-23483 [Peer Reviewed Journal]

Copyright National Academy of Sciences Sep 22, 2020 ;Copyright © 2020 the Author(s). Published by PNAS. 2020 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1905590117 ;PMID: 32900940

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14
Placing language in an integrated understanding system: Next steps toward human-level performance in neural language models
Placing language in an integrated understanding system: Next steps toward human-level performance in neural language models
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Placing language in an integrated understanding system: Next steps toward human-level performance in neural language models

Proceedings of the National Academy of Sciences - PNAS, 2020-10, Vol.117 (42), p.25966-25974 [Peer Reviewed Journal]

Copyright National Academy of Sciences Oct 20, 2020 ;2020 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1910416117 ;PMID: 32989131

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15
A pre-trained BERT for Korean medical natural language processing
A pre-trained BERT for Korean medical natural language processing
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A pre-trained BERT for Korean medical natural language processing

Scientific reports, 2022-08, Vol.12 (1), p.13847-13847, Article 13847 [Peer Reviewed Journal]

2022. The Author(s). ;The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2022 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-022-17806-8 ;PMID: 35974113

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16
"What is relevant in a text document?": An interpretable machine learning approach
"What is relevant in a text document?": An interpretable machine learning approach
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"What is relevant in a text document?": An interpretable machine learning approach

PloS one, 2017-08, Vol.12 (8), p.e0181142-e0181142 [Peer Reviewed Journal]

COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Arras et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2017 Arras et al 2017 Arras et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0181142 ;PMID: 28800619

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17
Large-scale transportation network congestion evolution prediction using deep learning theory
Large-scale transportation network congestion evolution prediction using deep learning theory
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Large-scale transportation network congestion evolution prediction using deep learning theory

PloS one, 2015-03, Vol.10 (3), p.e0119044-e0119044 [Peer Reviewed Journal]

COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Ma et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2015 Ma et al 2015 Ma et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0119044 ;PMID: 25780910

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18
When small words foretell academic success: the case of college admissions essays
When small words foretell academic success: the case of college admissions essays
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When small words foretell academic success: the case of college admissions essays

PloS one, 2014-12, Vol.9 (12), p.e115844-e115844 [Peer Reviewed Journal]

COPYRIGHT 2014 Public Library of Science ;COPYRIGHT 2014 Public Library of Science ;2014 Pennebaker et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2014 Pennebaker et al 2014 Pennebaker et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0115844 ;PMID: 25551217

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19
Word2vec convolutional neural networks for classification of news articles and tweets
Word2vec convolutional neural networks for classification of news articles and tweets
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Word2vec convolutional neural networks for classification of news articles and tweets

PloS one, 2019-08, Vol.14 (8), p.e0220976-e0220976 [Peer Reviewed Journal]

COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Jang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 Jang et al 2019 Jang et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0220976 ;PMID: 31437181

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20
Ontology-driven weak supervision for clinical entity classification in electronic health records
Ontology-driven weak supervision for clinical entity classification in electronic health records
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Ontology-driven weak supervision for clinical entity classification in electronic health records

Nature communications, 2021-04, Vol.12 (1), p.2017-2017, Article 2017 [Peer Reviewed Journal]

The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2021 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-021-22328-4 ;PMID: 33795682

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