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1
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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2
Systematic mappings of sound to meaning: A theoretical review
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Article
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Systematic mappings of sound to meaning: A theoretical review

Psychonomic bulletin & review, 2024-04, Vol.31 (2), p.627-648 [Peer Reviewed Journal]

Copyright Springer Nature B.V. Apr 2024 ;ISSN: 1069-9384 ;EISSN: 1531-5320 ;DOI: 10.3758/sl3423-023-02395-y

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3
Towards Cross-lingual Representation of Prototypical Lexical Knowledge
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Article
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Towards Cross-lingual Representation of Prototypical Lexical Knowledge

IJCoL (Torino), 2023-12, Vol.9 (2), p.33 [Peer Reviewed Journal]

https://creativecommons.org/licenses/by-nc-nd/4.0 ;2023. 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. ;EISSN: 2499-4553 ;DOI: 10.4000/ijcol.1237

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4
Introducing a multipliable BOM-based automatic definition of information retrieval in plant engineering
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Conference Proceeding
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Introducing a multipliable BOM-based automatic definition of information retrieval in plant engineering

Proceedings of the Design Society, 2024, Vol.4, p.413-422

The Author(s), 2024. 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 the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work. (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 2732-527X ;DOI: 10.1017/pds.2024.44

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5
Automatic derivation of use case diagrams from interrelated natural language requirements
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Conference Proceeding
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Automatic derivation of use case diagrams from interrelated natural language requirements

Proceedings of the Design Society, 2024, Vol.4, p.2725-2734

The Author(s), 2024. 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 the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work. (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 2732-527X ;DOI: 10.1017/pds.2024.275

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6
Towards the extraction of semantic relations in design with natural language processing
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Conference Proceeding
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Towards the extraction of semantic relations in design with natural language processing

Proceedings of the Design Society, 2024, Vol.4, p.2059-2068

The Author(s), 2024. 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 the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work. (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 2732-527X ;DOI: 10.1017/pds.2024.208

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7
Neural Machine Translation with CARU-Embedding Layer and CARU-Gated Attention Layer
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Article
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Neural Machine Translation with CARU-Embedding Layer and CARU-Gated Attention Layer

Mathematics (Basel), 2024-04, Vol.12 (7), p.997 [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: 2227-7390 ;EISSN: 2227-7390 ;DOI: 10.3390/math12070997

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8
Automated linguistic analysis in speech samples of Turkish-speaking patients with schizophrenia-spectrum disorders
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Article
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Automated linguistic analysis in speech samples of Turkish-speaking patients with schizophrenia-spectrum disorders

Schizophrenia research, 2024-05, Vol.267, p.65 [Peer Reviewed Journal]

Copyright © 2024 Elsevier B.V. All rights reserved. ;EISSN: 1573-2509 ;DOI: 10.1016/j.schres.2024.03.014 ;PMID: 38518480

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9
Pipelined biomedical event extraction rivaling joint learning
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Article
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Pipelined biomedical event extraction rivaling joint learning

Methods (San Diego, Calif.), 2024-06, Vol.226, p.9 [Peer Reviewed Journal]

Copyright © 2024 Elsevier Inc. All rights reserved. ;EISSN: 1095-9130 ;DOI: 10.1016/j.ymeth.2024.04.003 ;PMID: 38604412

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10
BioBBC: a multi-feature model that enhances the detection of biomedical entities
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Article
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BioBBC: a multi-feature model that enhances the detection of biomedical entities

Scientific reports, 2024-04, Vol.14 (1), p.7697-7697 [Peer Reviewed Journal]

2024. The Author(s). ;The Author(s) 2024. 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) 2024 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-024-58334-x ;PMID: 38565624

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11
Scaling Implicit Bias Analysis across Transformer-Based Language Models through Embedding Association Test and Prompt Engineering
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Article
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Scaling Implicit Bias Analysis across Transformer-Based Language Models through Embedding Association Test and Prompt Engineering

Applied sciences, 2024-04, Vol.14 (8), p.3483 [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: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app14083483

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12
Natural language instructions induce compositional generalization in networks of neurons
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Article
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Natural language instructions induce compositional generalization in networks of neurons

Nature neuroscience, 2024-05, Vol.27 (5), p.988-999 [Peer Reviewed Journal]

2024. The Author(s). ;The Author(s) 2024. 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: 1097-6256 ;EISSN: 1546-1726 ;DOI: 10.1038/s41593-024-01607-5 ;PMID: 38499855

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13
Children's Sentiment Analysis From Texts by Using Weight Updated Tuned With Random Forest Classification
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Article
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Children's Sentiment Analysis From Texts by Using Weight Updated Tuned With Random Forest Classification

IEEE access, 2024, Vol.12, p.70089-70104 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2024.3400992 ;CODEN: IAECCG

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14
Biomedical semantic text summarizer
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Article
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Biomedical semantic text summarizer

BMC bioinformatics, 2024-04, Vol.25 (1), p.152-152 [Peer Reviewed Journal]

2024. The Author(s). ;COPYRIGHT 2024 BioMed Central Ltd. ;2024. 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) 2024 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-024-05712-x ;PMID: 38627652

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15
MV-SHIF: Multi-view symmetric hypothesis inference fusion network for emotion-cause pair extraction in documents
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Article
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MV-SHIF: Multi-view symmetric hypothesis inference fusion network for emotion-cause pair extraction in documents

Neural networks, 2024-07, Vol.175, p.106283 [Peer Reviewed Journal]

Copyright © 2024 Elsevier Ltd. All rights reserved. ;EISSN: 1879-2782 ;DOI: 10.1016/j.neunet.2024.106283 ;PMID: 38604007

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16
Enhancing Query Formulation for Universal Image Segmentation
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Article
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Enhancing Query Formulation for Universal Image Segmentation

Sensors (Basel, Switzerland), 2024-03, Vol.24 (6), p.1879 [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. ;2024 by the authors. 2024 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s24061879 ;PMID: 38544142

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17
Leveraging Pretrained Language Models for Enhanced Entity Matching: A Comprehensive Study of Fine-Tuning and Prompt Learning Paradigms
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Article
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Leveraging Pretrained Language Models for Enhanced Entity Matching: A Comprehensive Study of Fine-Tuning and Prompt Learning Paradigms

International journal of intelligent systems, 2024, Vol.2024 [Peer Reviewed Journal]

Copyright © 2024 Yu Wang et al. ;Copyright © 2024 Yu Wang et al. 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: 0884-8173 ;EISSN: 1098-111X ;DOI: 10.1155/2024/1941221

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18
Cross-and-Diagonal Networks: An Indirect Self-Attention Mechanism for Image Classification
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Article
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Cross-and-Diagonal Networks: An Indirect Self-Attention Mechanism for Image Classification

Sensors (Basel, Switzerland), 2024-04, Vol.24 (7), p.2055 [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: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s24072055 ;PMID: 38610267

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19
Insights into Object Semantics: Leveraging Transformer Networks for Advanced Image Captioning
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Article
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Insights into Object Semantics: Leveraging Transformer Networks for Advanced Image Captioning

Sensors (Basel, Switzerland), 2024-03, Vol.24 (6), p.1796 [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. ;2024 by the authors. 2024 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s24061796 ;PMID: 38544059

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20
ProRLearn: boosting prompt tuning-based vulnerability detection by reinforcement learning
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Article
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ProRLearn: boosting prompt tuning-based vulnerability detection by reinforcement learning

Automated software engineering, 2024-11, Vol.31 (2), p.38 [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: 0928-8910 ;EISSN: 1573-7535 ;DOI: 10.1007/s10515-024-00438-9

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