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1	Material Type: Article	Characterization inference based on joint-optimization of multi-layer semantics and deep fusion matching network PeerJ. Computer science, 2022-04, Vol.8, p.e908-e908, Article e908 [Peer Reviewed Journal] 2022 Zheng and Yin. ;COPYRIGHT 2022 PeerJ. Ltd. ;2022 Zheng and Yin. This is an open access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 Zheng and Yin 2022 Zheng and Yin ;ISSN: 2376-5992 ;EISSN: 2376-5992 ;DOI: 10.7717/peerj-cs.908 ;PMID: 35494798 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
2	Material Type: Article	Natural language processing: state of the art, current trends and challenges Multimedia tools and applications, 2023-01, Vol.82 (3), p.3713-3744 [Peer Reviewed Journal] The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. Springer Nature or its licensor 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.. corrected publication 2022 ;The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, Springer Nature or its licensor 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.corrected publication 2022. ;The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. Springer Nature or its licensor 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. corrected publication 2022. ;The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, corrected publication 2022Springer Nature or its licensor 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: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-022-13428-4 ;PMID: 35855771 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
3	Material Type: Article	Sentence Representation Method Based on Multi-Layer Semantic Network Applied sciences, 2021-02, Vol.11 (3), p.1316 [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. ;2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app11031316 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
4	Material Type: Article	Inherent Disagreements in Human Textual Inferences Transactions of the Association for Computational Linguistics, 2019-11, Vol.7, p.677-694 [Peer Reviewed Journal] 2019. 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_00293 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
5	Material Type: Article	Generating Image Captions Using Bahdanau Attention Mechanism and Transfer Learning Symmetry (Basel), 2022-12, Vol.14 (12), p.2681 [Peer Reviewed Journal] COPYRIGHT 2022 MDPI AG ;2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2073-8994 ;EISSN: 2073-8994 ;DOI: 10.3390/sym14122681 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
6	Material Type: Article	Named Entity Recognition by Using XLNet-BiLSTM-CRF Neural processing letters, 2021-10, Vol.53 (5), p.3339-3356 [Peer Reviewed Journal] The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021. ;ISSN: 1370-4621 ;EISSN: 1573-773X ;DOI: 10.1007/s11063-021-10547-1 Digital Resources/Online E-Resources Services Details Recommendations Reviews Times Cited Citations Cited by
7	Material Type: Article	Natural language inference for Malayalam language using language agnostic sentence representation PeerJ. Computer science, 2021-05, Vol.7, p.e508-e508, Article e508 [Peer Reviewed Journal] 2021 Renjit and Idicula. ;COPYRIGHT 2021 PeerJ. Ltd. ;2021 Renjit and Idicula. This is an open access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 Renjit and Idicula 2021 Renjit and Idicula ;ISSN: 2376-5992 ;EISSN: 2376-5992 ;DOI: 10.7717/PEERJ-CS.508 ;PMID: 34013034 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
8	Material Type: Article	Design considerations for a hierarchical semantic compositional framework for medical natural language understanding PloS one, 2023-03, Vol.18 (3), p.e0282882-e0282882 [Peer Reviewed Journal] Copyright: © 2023 Taira et al. 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 author and source are credited. ;COPYRIGHT 2023 Public Library of Science ;2023 Taira 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. ;2023 Taira et al 2023 Taira et al ;2023 Taira 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. ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0282882 ;PMID: 36928721 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
9	Material Type: Article	"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 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
10	Material Type: Article	Learning the language of viral evolution and escape Science (American Association for the Advancement of Science), 2021-01, Vol.371 (6526), p.284-288 [Peer Reviewed Journal] Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. ;Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works ;ISSN: 0036-8075 ;EISSN: 1095-9203 ;DOI: 10.1126/science.abd7331 ;PMID: 33446556 Digital Resources/Online E-Resources Services Details Recommendations Reviews Times Cited Citations Cited by
11	Material Type: Article	iDNA-ABF: multi-scale deep biological language learning model for the interpretable prediction of DNA methylations Genome Biology, 2022-10, Vol.23 (1), p.1-219, Article 219 [Peer Reviewed Journal] 2022. This work is licensed 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: 1474-760X ;ISSN: 1474-7596 ;EISSN: 1474-760X ;DOI: 10.1186/s13059-022-02780-1 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
12	Material Type: Article	Metaphor identification in large texts corpora PloS one, 2013-04, Vol.8 (4), p.e62343-e62343 [Peer Reviewed Journal] COPYRIGHT 2013 Public Library of Science ;2013 Neuman et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://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. ;2013 Neuman et al 2013 Neuman et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0062343 ;PMID: 23658625 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
13	Material Type: Article	How quantifying the shape of stories predicts their success Proceedings of the National Academy of Sciences - PNAS, 2021-06, Vol.118 (26) [Peer Reviewed Journal] Copyright © 2021 the Author(s). Published by PNAS. ;Copyright National Academy of Sciences Jun 29, 2021 ;Copyright © 2021 the Author(s). Published by PNAS. 2021 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.2011695118 ;PMID: 34172568 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
14	Material Type: Article	Promoting Unified Generative Framework with Descriptive Prompts for Joint Multi-Intent Detection and Slot Filling Electronics (Basel), 2024-03, Vol.13 (6), p.1087 [Peer Reviewed Journal] COPYRIGHT 2024 MDPI AG ;2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics13061087 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
15	Material Type: Article	Why 'piss' is ruder than 'pee'? The role of sound in affective meaning making PloS one, 2018-06, Vol.13 (6), p.e0198430-e0198430 [Peer Reviewed Journal] COPYRIGHT 2018 Public Library of Science ;COPYRIGHT 2018 Public Library of Science ;2018 Aryani 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 Aryani et al 2018 Aryani et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0198430 ;PMID: 29874293 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
16	Material Type: Article	Long-term memory predictors of adult language learning at the interface between syntactic form and meaning PloS one, 2022-10, Vol.17 (10), p.e0275061-e0275061 [Peer Reviewed Journal] COPYRIGHT 2022 Public Library of Science ;2022 Diana Pili-Moss. 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. ;2022 Diana Pili-Moss 2022 Diana Pili-Moss ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0275061 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
17	Material Type: Article	A Deep Fusion Matching Network Semantic Reasoning Model Applied sciences, 2022-04, Vol.12 (7), p.3416 [Peer Reviewed Journal] 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app12073416 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
18	Material Type: Article	Modeling Trajectories Obtained from External Sensors for Location Prediction via NLP Approaches Sensors (Basel, Switzerland), 2022-10, Vol.22 (19), p.7475 [Peer Reviewed Journal] COPYRIGHT 2022 MDPI AG ;2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Attribution ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22197475 ;PMID: 36236581 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
19	Material Type: Article	SP-NLG: A Semantic-Parsing-Guided Natural Language Generation Framework Electronics (Basel), 2023-04, Vol.12 (8), p.1772 [Peer Reviewed Journal] COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics12081772 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
20	Material Type: Article	Building A Natural Language Query And Control Interface For IoT Platforms IEEE access, 2022, Vol.10, p.1-1 [Peer Reviewed Journal] Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2022.3186760 ;CODEN: IAECCG Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by