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1
Natural language processing for lawyers and judges
Natural language processing for lawyers and judges
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Article 		Add to My Research

Natural language processing for lawyers and judges

Michigan Law Review, 2021-04, Vol.119 (6), p.1399-1410

COPYRIGHT 2021 Michigan Law Review Association ;Copyright Michigan Law Review Association Apr 2021 ;ISSN: 0026-2234 ;EISSN: 1939-8557 ;DOI: 10.36644/mlr.119.6.natural

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2
When Textual Information Becomes Spatial Information Compatible with Satellite Images
When Textual Information Becomes Spatial Information Compatible with Satellite Images
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Conference Proceeding 		Add to My Research

When Textual Information Becomes Spatial Information Compatible with Satellite Images

Proceedings of 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2015, Vol.1, p.301-306

Distributed under a Creative Commons Attribution 4.0 International License ;DOI: 10.5220/0005606903010306

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3
Exploring prevalence of wound infections and related patient characteristics in homecare using natural language processing
Exploring prevalence of wound infections and related patient characteristics in homecare using natural language processing
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Article 		Add to My Research

Exploring prevalence of wound infections and related patient characteristics in homecare using natural language processing

International wound journal, 2022-01, Vol.19 (1), p.211-221 [Peer Reviewed Journal]

2021 The Authors. published by Medicalhelplines.com Inc (3M) and John Wiley & Sons Ltd. ;2021 The Authors. International Wound Journal published by Medicalhelplines.com Inc (3M) and John Wiley & Sons Ltd. ;ISSN: 1742-4801 ;EISSN: 1742-481X ;DOI: 10.1111/iwj.13623 ;PMID: 34105873

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4
Automatic Recommendation of Forum Threads and Reinforcement Activities in a Data Structure and Programming Course
Automatic Recommendation of Forum Threads and Reinforcement Activities in a Data Structure and Programming Course
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Article 		Add to My Research

Automatic Recommendation of Forum Threads and Reinforcement Activities in a Data Structure and Programming Course

Applied system innovation, 2023-09, Vol.6 (5), p.83 [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: 2571-5577 ;EISSN: 2571-5577 ;DOI: 10.3390/asi6050083

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5
LOD search engine: A semantic search over linked data
LOD search engine: A semantic search over linked data
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Article 		Add to My Research

LOD search engine: A semantic search over linked data

Journal of intelligent information systems, 2022-08, Vol.59 (1), p.71-91 [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: 0925-9902 ;EISSN: 1573-7675 ;DOI: 10.1007/s10844-021-00687-0

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6
Achieving Semantic Consistency for Multilingual Sentence Representation Using an Explainable Machine Natural Language Parser (MParser)
Achieving Semantic Consistency for Multilingual Sentence Representation Using an Explainable Machine Natural Language Parser (MParser)
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Article 		Add to My Research

Achieving Semantic Consistency for Multilingual Sentence Representation Using an Explainable Machine Natural Language Parser (MParser)

Applied sciences, 2021-12, Vol.11 (24), p.11699 [Peer Reviewed Journal]

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 (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/app112411699

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7
An empirical study of developers’ discussions about security challenges of different programming languages
An empirical study of developers’ discussions about security challenges of different programming languages
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Article 		Add to My Research

An empirical study of developers’ discussions about security challenges of different programming languages

Empirical software engineering : an international journal, 2022-01, Vol.27 (1), Article 27 [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: 1382-3256 ;EISSN: 1573-7616 ;DOI: 10.1007/s10664-021-10054-w

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8
A Memory-Based Learning Approach for Named Entity Recognition in Hindi
A Memory-Based Learning Approach for Named Entity Recognition in Hindi
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Article 		Add to My Research

A Memory-Based Learning Approach for Named Entity Recognition in Hindi

Journal of intelligent systems, 2017-04, Vol.26 (2), p.301-321 [Peer Reviewed Journal]

Copyright Walter de Gruyter GmbH 2017 ;ISSN: 0334-1860 ;EISSN: 2191-026X ;DOI: 10.1515/jisys-2015-0010

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9
Technical Note: An embedding‐based medical note de‐identification approach with sparse annotation
Technical Note: An embedding‐based medical note de‐identification approach with sparse annotation
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Article 		Add to My Research

Technical Note: An embedding‐based medical note de‐identification approach with sparse annotation

Medical physics (Lancaster), 2021-03, Vol.48 (3), p.1341-1348 [Peer Reviewed Journal]

2020 American Association of Physicists in Medicine ;2020 American Association of Physicists in Medicine. ;ISSN: 0094-2405 ;EISSN: 2473-4209 ;DOI: 10.1002/mp.14664 ;PMID: 33340113

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10
Finding Important Terms for Patients in Their Electronic Health Records: A Learning-to-Rank Approach Using Expert Annotations
Finding Important Terms for Patients in Their Electronic Health Records: A Learning-to-Rank Approach Using Expert Annotations
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Article 		Add to My Research

Finding Important Terms for Patients in Their Electronic Health Records: A Learning-to-Rank Approach Using Expert Annotations

JMIR medical informatics, 2016-11, Vol.4 (4), p.e40-e40 [Peer Reviewed Journal]

Jinying Chen, Jiaping Zheng, Hong Yu. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 30.11.2016. ;2016. This work is licensed under http://creativecommons.org/licenses/by/2.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Jinying Chen, Jiaping Zheng, Hong Yu. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 30.11.2016. 2016 ;ISSN: 2291-9694 ;EISSN: 2291-9694 ;DOI: 10.2196/medinform.6373 ;PMID: 27903489

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11
A clinical text classification paradigm using weak supervision and deep representation
A clinical text classification paradigm using weak supervision and deep representation
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Article 		Add to My Research

A clinical text classification paradigm using weak supervision and deep representation

BMC medical informatics and decision making, 2019-01, Vol.19 (1), p.1-1, Article 1 [Peer Reviewed Journal]

COPYRIGHT 2019 BioMed Central Ltd. ;Copyright © 2019. 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). 2019 ;ISSN: 1472-6947 ;EISSN: 1472-6947 ;DOI: 10.1186/s12911-018-0723-6 ;PMID: 30616584

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12
Protocol for a reproducible experimental survey on biomedical sentence similarity
Protocol for a reproducible experimental survey on biomedical sentence similarity
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Article 		Add to My Research

Protocol for a reproducible experimental survey on biomedical sentence similarity

PloS one, 2021-03, Vol.16 (3), p.e0248663-e0248663 [Peer Reviewed Journal]

COPYRIGHT 2021 Public Library of Science ;COPYRIGHT 2021 Public Library of Science ;2021 Lara-Clares 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. ;2021 Lara-Clares et al 2021 Lara-Clares et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0248663 ;PMID: 33760855

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13
CLSTM-SNP: Convolutional Neural Network to Enhance Spiking Neural P Systems for Named Entity Recognition Based on Long Short-Term Memory Network
CLSTM-SNP: Convolutional Neural Network to Enhance Spiking Neural P Systems for Named Entity Recognition Based on Long Short-Term Memory Network
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Article 		Add to My Research

CLSTM-SNP: Convolutional Neural Network to Enhance Spiking Neural P Systems for Named Entity Recognition Based on Long Short-Term Memory Network

Neural processing letters, 2024-04, Vol.56 (2) [Peer Reviewed Journal]

The Author(s) 2024 ;EISSN: 1573-773X ;DOI: 10.1007/s11063-024-11576-2

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14
Source File Tracking Localization: A Fault Localization Method for Deep Learning Frameworks
Source File Tracking Localization: A Fault Localization Method for Deep Learning Frameworks
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Article 		Add to My Research

Source File Tracking Localization: A Fault Localization Method for Deep Learning Frameworks

Electronics (Basel), 2023-11, Vol.12 (22), p.4579 [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/electronics12224579

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15
Assessing stroke severity using electronic health record data: a machine learning approach
Assessing stroke severity using electronic health record data: a machine learning approach
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Article 		Add to My Research

Assessing stroke severity using electronic health record data: a machine learning approach

BMC medical informatics and decision making, 2020-01, Vol.20 (1), p.8-8, Article 8 [Peer Reviewed Journal]

COPYRIGHT 2020 BioMed Central Ltd. ;2020. 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). 2020 ;ISSN: 1472-6947 ;EISSN: 1472-6947 ;DOI: 10.1186/s12911-019-1010-x ;PMID: 31914991

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16
Adventures in semantic publishing: exemplar semantic enhancements of a research article
Adventures in semantic publishing: exemplar semantic enhancements of a research article
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Article 		Add to My Research

Adventures in semantic publishing: exemplar semantic enhancements of a research article

PLoS computational biology, 2009-04, Vol.5 (4), p.e1000361-e1000361 [Peer Reviewed Journal]

COPYRIGHT 2009 Public Library of Science ;Shotton et al. 2009 ;2009 Shotton 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: Shotton D, Portwin K, Klyne G, Miles A (2009) Adventures in Semantic Publishing: Exemplar Semantic Enhancements of a Research Article. PLoS Comput Biol 5(4): e1000361. doi:10.1371/journal.pcbi.1000361 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1000361 ;PMID: 19381256

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17
A study of deep learning methods for de-identification of clinical notes in cross-institute settings
A study of deep learning methods for de-identification of clinical notes in cross-institute settings
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Article 		Add to My Research

A study of deep learning methods for de-identification of clinical notes in cross-institute settings

BMC medical informatics and decision making, 2019-12, Vol.19 (Suppl 5), p.232-232, Article 232 [Peer Reviewed Journal]

COPYRIGHT 2019 BioMed Central Ltd. ;2019. 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). 2019 ;ISSN: 1472-6947 ;EISSN: 1472-6947 ;DOI: 10.1186/s12911-019-0935-4 ;PMID: 31801524

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18
Tpgen: a language model for stable protein design with a specific topology structure
Tpgen: a language model for stable protein design with a specific topology structure
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Article 		Add to My Research

Tpgen: a language model for stable protein design with a specific topology structure

BMC bioinformatics, 2024-01, Vol.25 (1), p.35-35, Article 35 [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/s12859-024-05637-5 ;PMID: 38254030

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19
Triaging Patient Complaints: Monte Carlo Cross-Validation of Six Machine Learning Classifiers
Triaging Patient Complaints: Monte Carlo Cross-Validation of Six Machine Learning Classifiers
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Article 		Add to My Research

Triaging Patient Complaints: Monte Carlo Cross-Validation of Six Machine Learning Classifiers

JMIR medical informatics, 2017-07, Vol.5 (3), p.e19-e19 [Peer Reviewed Journal]

Adel Elmessiry, William O Cooper, Thomas F Catron, Jan Karrass, Zhe Zhang, Munindar P Singh. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 31.07.2017. ;2017. This work is licensed 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. ;Adel Elmessiry, William O Cooper, Thomas F Catron, Jan Karrass, Zhe Zhang, Munindar P Singh. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 31.07.2017. 2017 ;ISSN: 2291-9694 ;EISSN: 2291-9694 ;DOI: 10.2196/medinform.7140 ;PMID: 28760726

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20
A Multitask Learning Approach for Named Entity Recognition by Exploiting Sentence-Level Semantics Globally
A Multitask Learning Approach for Named Entity Recognition by Exploiting Sentence-Level Semantics Globally
Material Type:
Article 		Add to My Research

A Multitask Learning Approach for Named Entity Recognition by Exploiting Sentence-Level Semantics Globally

Electronics (Basel), 2022-10, Vol.11 (19), p.3048 [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: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics11193048

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