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1
Explainable Natural Language Processing
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Explainable Natural Language Processing

Computational Linguistics, 2022-12, Vol.48 (4), p.1137-1139 [Peer Reviewed Journal]

2022. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0891-2017 ;EISSN: 1530-9312 ;DOI: 10.1162/coli_r_00460

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2
ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope
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ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope

Internet of Things and Cyber-Physical Systems, 2023-01, Vol.3, p.121-154 [Peer Reviewed Journal]

ISSN: 2667-3452 ;DOI: 10.1016/j.iotcps.2023.04.003

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3
Review of natural language processing techniques for characterizing positive energy districts
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Review of natural language processing techniques for characterizing positive energy districts

Journal of physics. Conference series, 2023-11, Vol.2600 (8), p.82024 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2600/8/082024

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4
Negation detection in Dutch clinical texts: an evaluation of rule-based and machine learning methods
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Negation detection in Dutch clinical texts: an evaluation of rule-based and machine learning methods

info:eu-repo/semantics/OpenAccess ;ISSN: 1471-2105 ;EISSN: 1471-2105

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5
Natural Language Processing: A Machine Learning Perspective by Yue Zhang and Zhiyang Teng
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Natural Language Processing: A Machine Learning Perspective by Yue Zhang and Zhiyang Teng

Computational Linguistics, 2022-04, Vol.48 (1), p.233-235 [Peer Reviewed Journal]

2022. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0891-2017 ;EISSN: 1530-9312 ;DOI: 10.1162/coli_r_00423

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6
The 2019 n2c2/OHNLP Track on Clinical Semantic Textual Similarity: Overview
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The 2019 n2c2/OHNLP Track on Clinical Semantic Textual Similarity: Overview

JMIR medical informatics, 2020-11, Vol.8 (11), p.e23375-e23375 [Peer Reviewed Journal]

Yanshan Wang, Sunyang Fu, Feichen Shen, Sam Henry, Ozlem Uzuner, Hongfang Liu. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 27.11.2020. ;Yanshan Wang, Sunyang Fu, Feichen Shen, Sam Henry, Ozlem Uzuner, Hongfang Liu. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 27.11.2020. 2020 ;ISSN: 2291-9694 ;EISSN: 2291-9694 ;DOI: 10.2196/23375 ;PMID: 33245291

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7
Fake News Classification using transformer based enhanced LSTM and BERT
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Fake News Classification using transformer based enhanced LSTM and BERT

International journal of cognitive computing in engineering, 2022-06, Vol.3, p.98-105 [Peer Reviewed Journal]

2022 ;ISSN: 2666-3074 ;EISSN: 2666-3074 ;DOI: 10.1016/j.ijcce.2022.03.003

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8
Neural Machine Translation: A Review
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Article
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Neural Machine Translation: A Review

The Journal of artificial intelligence research, 2020-01, Vol.69, p.343-418 [Peer Reviewed Journal]

2020. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://www.jair.org/index.php/jair/about ;ISSN: 1076-9757 ;EISSN: 1943-5037 ;DOI: 10.1613/jair.1.12007

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9
Chinese long text summarization using improved sequence-to-sequence lstm
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Chinese long text summarization using improved sequence-to-sequence lstm

Journal of physics. Conference series, 2020-05, Vol.1550 (3), p.32162 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2020. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1550/3/032162

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10
A Primer on Neural Network Models for Natural Language Processing
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A Primer on Neural Network Models for Natural Language Processing

The Journal of artificial intelligence research, , Vol.57, p.345-420 [Peer Reviewed Journal]

2016. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://www.jair.org/index.php/jair/about ;ISSN: 1076-9757 ;EISSN: 1943-5037 ;DOI: 10.1613/jair.4992

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11
Retracted: A New Rule-Based Approach for Classical Arabic in Natural Language Processing
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Retracted: A New Rule-Based Approach for Classical Arabic in Natural Language Processing

Journal of mathematics (Hidawi), 2023-01, Vol.2023, p.1-1 [Peer Reviewed Journal]

Copyright © 2023 Journal of Mathematics. ;Copyright © 2023 Journal of Mathematics. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 ;ISSN: 2314-4629 ;EISSN: 2314-4785 ;DOI: 10.1155/2023/9851417

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12
Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science
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Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science

Computational Linguistics, 2023-03, Vol.49 (1), p.249-251 [Peer Reviewed Journal]

2023. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0891-2017 ;EISSN: 1530-9312 ;DOI: 10.1162/coli_r_00467

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13
ProtGPT2 is a deep unsupervised language model for protein design
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ProtGPT2 is a deep unsupervised language model for protein design

Nature communications, 2022-07, Vol.13 (1), p.4348-4348, Article 4348 [Peer Reviewed Journal]

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: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-022-32007-7 ;PMID: 35896542

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14
Sentiment analysis using product review data
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Article
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Sentiment analysis using product review data

Journal of big data, 2015-06, Vol.2 (1), Article 5 [Peer Reviewed Journal]

Fang and Zhan; licensee Springer. 2015. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. ;Journal of Big Data is a copyright of Springer, (2015). All Rights Reserved. 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. ;ISSN: 2196-1115 ;EISSN: 2196-1115 ;DOI: 10.1186/s40537-015-0015-2

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15
Extraction of Elements of Protest Based on BERT Model and TextTeaser improved algorithm
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Article
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Extraction of Elements of Protest Based on BERT Model and TextTeaser improved algorithm

Journal of physics. Conference series, 2021-06, Vol.1955 (1), p.12107 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2021. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1955/1/012107

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16
Semantic approach for solving the decision problem in natural language
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Article
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Semantic approach for solving the decision problem in natural language

Journal of physics. Conference series, 2023-05, Vol.2514 (1), p.12019 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2514/1/012019

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17
A large language model for electronic health records
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Article
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A large language model for electronic health records

NPJ digital medicine, 2022-12, Vol.5 (1), p.194-194, Article 194 [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: 2398-6352 ;EISSN: 2398-6352 ;DOI: 10.1038/s41746-022-00742-2 ;PMID: 36572766

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18
Probing Classifiers: Promises, Shortcomings, and Advances
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Article
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Probing Classifiers: Promises, Shortcomings, and Advances

Computational linguistics - Association for Computational Linguistics, 2022-04, Vol.48 (1), p.207-219 [Peer Reviewed Journal]

2022. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0891-2017 ;EISSN: 1530-9312 ;DOI: 10.1162/coli_a_00422

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19
A REVIEW ON NATURAL LANGUAGE PROCESSING Report: Statistics and Facts
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Article
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A REVIEW ON NATURAL LANGUAGE PROCESSING Report: Statistics and Facts

IOP conference series. Materials Science and Engineering, 2021-03, Vol.1084 (1), p.12037 [Peer Reviewed Journal]

2021. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1757-8981 ;EISSN: 1757-899X ;DOI: 10.1088/1757-899X/1084/1/012037

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20
Metamorphic Robustness Testing for DeepL Translation
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Metamorphic Robustness Testing for DeepL Translation

Journal of physics. Conference series, 2023-03, Vol.2456 (1), p.12018 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2456/1/012018

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