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1
Natural language processing for lawyers and judges
Material Type:
Article
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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
Material Type:
Conference Proceeding
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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
Material Type:
Article
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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
Relational retrieval using a combination of path-constrained random walks
Material Type:
Article
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Relational retrieval using a combination of path-constrained random walks

Machine learning, 2010-10, Vol.81 (1), p.53-67 [Peer Reviewed Journal]

The Author(s) 2010 ;2015 INIST-CNRS ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-010-5205-8

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5
LOD search engine: A semantic search over linked data
Material Type:
Article
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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)
Material Type:
Article
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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
Material Type:
Article
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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
Material Type:
Article
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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
Material Type:
Article
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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
Material Type:
Article
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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
Material Type:
Article
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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
Material Type:
Article
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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
Adventures in semantic publishing: exemplar semantic enhancements of a research article
Material Type:
Article
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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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14
Assessing stroke severity using electronic health record data: a machine learning approach
Material Type:
Article
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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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15
Triaging Patient Complaints: Monte Carlo Cross-Validation of Six Machine Learning Classifiers
Material Type:
Article
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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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16
A study of deep learning methods for de-identification of clinical notes in cross-institute settings
Material Type:
Article
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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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17
Temporal Integration of Text Transcripts and Acoustic Features for Alzheimer's Diagnosis Based on Spontaneous Speech
Material Type:
Article
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Temporal Integration of Text Transcripts and Acoustic Features for Alzheimer's Diagnosis Based on Spontaneous Speech

Frontiers in aging neuroscience, 2021-06, Vol.13, p.642647-642647 [Peer Reviewed Journal]

2021. 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. ;Copyright © 2021 Martinc, Haider, Pollak and Luz. 2021 Martinc, Haider, Pollak and Luz ;ISSN: 1663-4365 ;EISSN: 1663-4365 ;DOI: 10.3389/fnagi.2021.642647 ;PMID: 34194313

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18
Contractor’s Risk Analysis of Engineering Procurement and Construction (EPC) Contracts Using Ontological Semantic Model and Bi-Long Short-Term Memory (LSTM) Technology
Material Type:
Article
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Contractor’s Risk Analysis of Engineering Procurement and Construction (EPC) Contracts Using Ontological Semantic Model and Bi-Long Short-Term Memory (LSTM) Technology

Sustainability (Basel, Switzerland), 2022-06, Vol.14 (11), p.6938 [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: 2071-1050 ;EISSN: 2071-1050 ;DOI: 10.3390/su14116938

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19
Recent Advances in Clinical Natural Language Processing in Support of Semantic Analysis
Material Type:
Article
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Recent Advances in Clinical Natural Language Processing in Support of Semantic Analysis

Yearbook of medical informatics, 2015-08, Vol.24 (1), p.183-193

IMIA and Schattauer GmbH 2015 2015 ;ISSN: 0943-4747 ;EISSN: 2364-0502 ;DOI: 10.15265/IY-2015-009 ;PMID: 26293867

Digital Resources/Online E-Resources

20
What artificial grammar learning reveals about the neurobiology of syntax
Material Type:
Article
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What artificial grammar learning reveals about the neurobiology of syntax

Brain and language, 2012-02, Vol.120 (2), p.83 [Peer Reviewed Journal]

ISSN: 1090-2155 ;EISSN: 1090-2155 ;DOI: 10.1016/j.bandl.2010.08.003

Digital Resources/Online E-Resources

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