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1
OWL2Vec: embedding of OWL ontologies
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Article
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OWL2Vec: embedding of OWL ontologies

Machine learning, 2021-07, Vol.110 (7), p.1813-1845 [Peer Reviewed Journal]

The Author(s) 2021 ;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. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-021-05997-6

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2
Embeddings in Natural Language Processing: Theory and Advances in Vector Representations of Meaning
Material Type:
Book
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Embeddings in Natural Language Processing: Theory and Advances in Vector Representations of Meaning

ISBN: 9783031021770 ;ISBN: 3031021770 ;ISBN: 9783031010491 ;ISBN: 3031010493 ;EISBN: 9783031021770 ;EISBN: 3031021770 ;OCLC: 1225971295

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3
Deep Learning Enabled Semantic Communication Systems
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Article
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Deep Learning Enabled Semantic Communication Systems

IEEE transactions on signal processing, 2021, Vol.69, p.2663-2675 [Peer Reviewed Journal]

ISSN: 1053-587X ;EISSN: 1941-0476 ;DOI: 10.1109/TSP.2021.3071210 ;CODEN: ITPRED

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4
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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5
Semantic Similarity from Natural Language and Ontology Analysis
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Book
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Semantic Similarity from Natural Language and Ontology Analysis

ISBN: 3031021568 ;ISBN: 9783031021565 ;ISBN: 9783031010286 ;ISBN: 3031010280 ;EISBN: 3031021568 ;EISBN: 9783031021565 ;DOI: 10.2200/S00639ED1V01Y201504HLT027 ;OCLC: 910448143

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6
A Primer in BERTology: What We Know About How BERT Works
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Article
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A Primer in BERTology: What We Know About How BERT Works

Transactions of the Association for Computational Linguistics, 2020-01, Vol.8, p.842-866 [Peer Reviewed Journal]

2020. This work is published under https://creativecommons.org/licenses/by/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: 2307-387X ;EISSN: 2307-387X ;DOI: 10.1162/tacl_a_00349

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7
Semantics of the Black-Box: Can Knowledge Graphs Help Make Deep Learning Systems More Interpretable and Explainable?
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Article
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Semantics of the Black-Box: Can Knowledge Graphs Help Make Deep Learning Systems More Interpretable and Explainable?

IEEE internet computing, 2021-01, Vol.25 (1), p.51-59 [Peer Reviewed Journal]

ISSN: 1089-7801 ;EISSN: 1941-0131 ;DOI: 10.1109/MIC.2020.3031769 ;CODEN: IICOFX

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8
What BERT Is Not: Lessons from a New Suite of Psycholinguistic Diagnostics for Language Models
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Article
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What BERT Is Not: Lessons from a New Suite of Psycholinguistic Diagnostics for Language Models

Transactions of the Association for Computational Linguistics, 2020-01, Vol.8, p.34-48 [Peer Reviewed Journal]

2020. This work is published under https://creativecommons.org/licenses/by/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: 2307-387X ;EISSN: 2307-387X ;DOI: 10.1162/tacl_a_00298

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9
Named Entity Extraction for Knowledge Graphs: A Literature Overview
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Article
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Named Entity Extraction for Knowledge Graphs: A Literature Overview

IEEE access, 2020, Vol.8, p.32862-32881 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2020.2973928 ;CODEN: IAECCG

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10
Automated Handling of Anaphoric Ambiguity in Requirements: A Multi-solution Study
Material Type:
Conference Proceeding
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Automated Handling of Anaphoric Ambiguity in Requirements: A Multi-solution Study

2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE), 2022, p.187-199

EISSN: 1558-1225 ;EISBN: 9781450392211 ;EISBN: 1450392210 ;DOI: 10.1145/3510003.3510157 ;CODEN: IEEPAD

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11
Linguistic Fundamentals for Natural Language Processing II: 100 Essentials from Semantics and Pragmatics
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Book
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Linguistic Fundamentals for Natural Language Processing II: 100 Essentials from Semantics and Pragmatics

ISBN: 9783031021725 ;ISBN: 303102172X ;ISBN: 3031010442 ;ISBN: 9783031010446 ;EISBN: 9783031021725 ;EISBN: 303102172X ;OCLC: 1127939686

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12
Analysis of Abstractive and Extractive Summarization Methods
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Article
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Analysis of Abstractive and Extractive Summarization Methods

International journal of emerging technologies in learning, 2024-01, Vol.19 (1), p.86-96 [Peer Reviewed Journal]

2024. This work is published under https://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: 1863-0383 ;EISSN: 1863-0383 ;DOI: 10.3991/ijet.v19i01.46079

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13
MRA-Net: Improving VQA Via Multi-Modal Relation Attention Network
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Article
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MRA-Net: Improving VQA Via Multi-Modal Relation Attention Network

IEEE transactions on pattern analysis and machine intelligence, 2022-01, Vol.44 (1), p.318 [Peer Reviewed Journal]

EISSN: 1939-3539 ;DOI: 10.1109/TPAMI.2020.3004830 ;PMID: 32750794

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14
Vision Transformers for Remote Sensing Image Classification
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Article
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Vision Transformers for Remote Sensing Image Classification

Remote sensing (Basel, Switzerland), 2021-02, Vol.13 (3), p.516 [Peer Reviewed Journal]

2021. This work is licensed 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: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs13030516

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15
Break It Down: A Question Understanding Benchmark
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Article
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Break It Down: A Question Understanding Benchmark

Transactions of the Association for Computational Linguistics, 2020-01, Vol.8, p.183 [Peer Reviewed Journal]

2020. This work is published under https://creativecommons.org/licenses/by/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: 2307-387X ;EISSN: 2307-387X ;DOI: 10.1162/tacl_a_00309

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16
TOCOL: improving contextual representation of pre-trained language models via token-level contrastive learning
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Article
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TOCOL: improving contextual representation of pre-trained language models via token-level contrastive learning

Machine learning, 2024, Vol.113 (7), p.3999-4012 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-023-06512-9

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17
Prediction of psychosis across protocols and risk cohorts using automated language analysis
Material Type:
Article
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Prediction of psychosis across protocols and risk cohorts using automated language analysis

World psychiatry, 2018-02, Vol.17 (1), p.67-75 [Peer Reviewed Journal]

2018 World Psychiatric Association ;2018 World Psychiatric Association. ;ISSN: 1723-8617 ;EISSN: 2051-5545 ;DOI: 10.1002/wps.20491 ;PMID: 29352548

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18
An effective negative sampling approach for contrastive learning of sentence embedding
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Article
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An effective negative sampling approach for contrastive learning of sentence embedding

Machine learning, 2023-12, Vol.112 (12), p.4837-4861 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-023-06408-8

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19
Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach
Material Type:
Article
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Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach

IEEE journal of biomedical and health informatics, 2020-10, Vol.24 (10), p.2733 [Peer Reviewed Journal]

EISSN: 2168-2208 ;DOI: 10.1109/JBHI.2020.3001216 ;PMID: 32750931

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20
Automatic detection of cyberbullying in social media text
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Article
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Automatic detection of cyberbullying in social media text

PloS one, 2018-10, Vol.13 (10), p.e0203794-e0203794 [Peer Reviewed Journal]

COPYRIGHT 2018 Public Library of Science ;COPYRIGHT 2018 Public Library of Science ;2018 Van Hee 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. ;2018 Van Hee et al 2018 Van Hee et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0203794 ;PMID: 30296299

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