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| Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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Natural language processing in mental health applications using non-clinical textsNatural language engineering, 2017-09, Vol.23 (5), p.649-685 [Peer Reviewed Journal]Copyright © Cambridge University Press 2017 ;Copyright © Cambridge University Press 2017 This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. ;ISSN: 1351-3249 ;EISSN: 1469-8110 ;DOI: 10.1017/S1351324916000383Full text available |
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How to do human evaluation: A brief introduction to user studies in NLPNatural language engineering, 2023-09, Vol.29 (5), p.1199-1222 [Peer Reviewed Journal]The Author(s), 2023. Published by Cambridge University Press ;The Author(s), 2023. Published by Cambridge University Press. This work is licensed under the Creative Commons Attribution License This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1351-3249 ;EISSN: 1469-8110 ;DOI: 10.1017/S1351324922000535Digital Resources/Online E-Resources |
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A survey of methods for revealing and overcoming weaknesses of data-driven Natural Language UnderstandingNatural language engineering, 2023-01, Vol.29 (1), p.1-31 [Peer Reviewed Journal]The Author(s), 2022. Published by Cambridge University Press ;The Author(s), 2022. Published by Cambridge University Press. This work is licensed under the Creative Commons Attribution License This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1351-3249 ;EISSN: 1469-8110 ;DOI: 10.1017/S1351324922000171Full text available |
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Recognition of visual scene elements from a story text in Persian natural languageNatural language engineering, 2023-05, Vol.29 (3), p.693-719 [Peer Reviewed Journal]The Author(s), 2022. Published by Cambridge University Press ;ISSN: 1351-3249 ;EISSN: 1469-8110 ;DOI: 10.1017/S1351324922000390Full text available |
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Navigating the text generation revolution: Traditional data-to-text NLG companies and the rise of ChatGPTNatural language engineering, 2023-07, Vol.29 (4), p.1188-1197 [Peer Reviewed Journal]The Author(s), 2023. Published by Cambridge University Press ;The Author(s), 2023. Published by Cambridge University Press. This work is licensed under the Creative Commons Attribution License This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1351-3249 ;EISSN: 1469-8110 ;DOI: 10.1017/S1351324923000347Digital Resources/Online E-Resources |
| 6 |
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Parameter-efficient feature-based transfer for paraphrase identificationNatural language engineering, 2023-07, Vol.29 (4), p.1066-1096 [Peer Reviewed Journal]The Author(s), 2022. Published by Cambridge University Press ;ISSN: 1351-3249 ;EISSN: 1469-8110 ;DOI: 10.1017/S135132492200050XDigital Resources/Online E-Resources |
| 7 |
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GPT-3: What’s it good for?Natural language engineering, 2021-01, Vol.27 (1), p.113-118 [Peer Reviewed Journal]Cambridge University Press 2020 ;2020 This article is published under (https://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: 1351-3249 ;EISSN: 1469-8110 ;DOI: 10.1017/S1351324920000601Full text available |
| 8 |
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Keyword extraction: Issues and methodsNatural language engineering, 2020-05, Vol.26 (3), p.259-291 [Peer Reviewed Journal]Copyright Cambridge University Press May 2020 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1351-3249 ;EISSN: 1469-8110 ;DOI: 10.1017/S1351324919000457Full text available |
| 9 |
Material Type: Article
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Analyzing and interpreting neural networks for NLP: A report on the first BlackboxNLP workshopNatural language engineering, 2019-07, Vol.25 (4), p.543-557 [Peer Reviewed Journal]Cambridge University Press 2019 ;ISSN: 1351-3249 ;EISSN: 1469-8110 ;DOI: 10.1017/S135132491900024XFull text available |
| 10 |
Material Type: Article
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Natural language generation: The commercial state of the art in 2020Natural language engineering, 2020-07, Vol.26 (4), p.481-487 [Peer Reviewed Journal]2020 This article is published under (https://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: 1351-3249 ;EISSN: 1469-8110 ;DOI: 10.1017/S135132492000025XFull text available |
| 11 |
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From theories on styles to their transfer in text: Bridging the gap with a hierarchical surveyNatural language engineering, 2023-07, Vol.29 (4), p.849-908 [Peer Reviewed Journal]The Author(s), 2022. Published by Cambridge University Press ;The Author(s), 2022. Published by Cambridge University Press. This work is licensed under the Creative Commons Attribution License This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1351-3249 ;EISSN: 1469-8110 ;DOI: 10.1017/S1351324922000407Digital Resources/Online E-Resources |
| 12 |
Material Type: Article
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Topical language generation using transformersNatural language engineering, 2023-03, Vol.29 (2), p.337-359 [Peer Reviewed Journal]The Author(s), 2022. Published by Cambridge University Press ;ISSN: 1351-3249 ;EISSN: 1469-8110 ;DOI: 10.1017/S1351324922000031Full text available |
| 13 |
Material Type: Article
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Comparison of text preprocessing methodsNatural language engineering, 2023-05, Vol.29 (3), p.509-553 [Peer Reviewed Journal]The Author(s), 2022. Published by Cambridge University Press ;ISSN: 1351-3249 ;EISSN: 1469-8110 ;DOI: 10.1017/S1351324922000213Full text available |
| 14 |
Material Type: Article
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A Survey on Machine Reading Comprehension SystemsNatural language engineering, 2022-11, Vol.28 (6), p.683-732 [Peer Reviewed Journal]The Author(s), 2022. Published by Cambridge University Press ;ISSN: 1351-3249 ;EISSN: 1469-8110 ;DOI: 10.1017/S1351324921000395Full text available |
| 15 |
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Sentence embeddings in NLI with iterative refinement encodersNatural language engineering, 2019-07, Vol.25 (4), p.467-482 [Peer Reviewed Journal]Cambridge University Press 2019 ;ISSN: 1351-3249 ;EISSN: 1469-8110 ;DOI: 10.1017/S1351324919000202Full text available |
| 16 |
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Automatic question generation based on sentence structure analysis using machine learning approachNatural language engineering, 2022-07, Vol.28 (4), p.487-517 [Peer Reviewed Journal]The Author(s), 2021. Published by Cambridge University Press ;ISSN: 1351-3249 ;EISSN: 1469-8110 ;DOI: 10.1017/S1351324921000139Full text available |
| 17 |
Material Type: Article
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Sentence encoding for Dialogue Act classificationNatural language engineering, 2023-05, Vol.29 (3), p.794-823 [Peer Reviewed Journal]The Author(s), 2021. Published by Cambridge University Press ;The Author(s), 2021. Published by Cambridge University Press. This work is licensed under the Creative Commons Attribution License This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1351-3249 ;EISSN: 1469-8110 ;DOI: 10.1017/S1351324921000310Full text available |
| 18 |
Material Type: Article
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Emerging trends: Unfair, biased, addictive, dangerous, deadly, and insanely profitableNatural language engineering, 2023-03, Vol.29 (2), p.483-508 [Peer Reviewed Journal]The Author(s), 2022. Published by Cambridge University Press. This work is licensed under the Creative Commons Attribution License This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1351-3249 ;EISSN: 1469-8110 ;DOI: 10.1017/S1351324922000481Full text available |
| 19 |
Material Type: Article
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UNLT: Urdu Natural Language ToolkitNatural language engineering, 2023-07, Vol.29 (4), p.942-977 [Peer Reviewed Journal]The Author(s), 2022. Published by Cambridge University Press ;The Author(s), 2022. Published by Cambridge University Press. This work is licensed under the Creative Commons Attribution License This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1351-3249 ;EISSN: 1469-8110 ;DOI: 10.1017/S1351324921000425Digital Resources/Online E-Resources |
| 20 |
Material Type: Article
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A study towards contextual understanding of toxicity in online conversationsNatural language engineering, 2023-11, Vol.29 (6), p.1538-1560 [Peer Reviewed Journal]The Author(s), 2023. Published by Cambridge University Press ;The Author(s), 2023. Published by Cambridge University Press. This work is licensed under the Creative Commons Attribution – Non-Commercial – No Derivatives License This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided that no alterations are made and the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use and/or adaptation of the article. (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1351-3249 ;EISSN: 1469-8110 ;DOI: 10.1017/S1351324923000414Digital Resources/Online E-Resources |
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