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Correction: Understanding the spatial dimension of natural language by measuring the spatial semantic similarity of words through a scalable geospatial context window
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8009350/ https://www.ncbi.nlm.nih.gov/pubmed/33784341 http://dx.doi.org/10.1371/journal.pone.0249618 |
| _version_ | 1783672855785897984 |
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| author | Wang, Bozhi Fei, Teng Kang, Yuhao Li, Meng Du, Qingyun Han, Meng Dong, Ning |
| author_facet | Wang, Bozhi Fei, Teng Kang, Yuhao Li, Meng Du, Qingyun Han, Meng Dong, Ning |
| author_sort | Wang, Bozhi |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-8009350 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2021 |
| publisher | Public Library of Science |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-80093502021-04-07 Correction: Understanding the spatial dimension of natural language by measuring the spatial semantic similarity of words through a scalable geospatial context window Wang, Bozhi Fei, Teng Kang, Yuhao Li, Meng Du, Qingyun Han, Meng Dong, Ning PLoS One Correction Public Library of Science 2021-03-30 /pmc/articles/PMC8009350/ /pubmed/33784341 http://dx.doi.org/10.1371/journal.pone.0249618 Text en © 2021 Wang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
| spellingShingle | Correction Wang, Bozhi Fei, Teng Kang, Yuhao Li, Meng Du, Qingyun Han, Meng Dong, Ning Correction: Understanding the spatial dimension of natural language by measuring the spatial semantic similarity of words through a scalable geospatial context window |
| title | Correction: Understanding the spatial dimension of natural language by measuring the spatial semantic similarity of words through a scalable geospatial context window |
| title_full | Correction: Understanding the spatial dimension of natural language by measuring the spatial semantic similarity of words through a scalable geospatial context window |
| title_fullStr | Correction: Understanding the spatial dimension of natural language by measuring the spatial semantic similarity of words through a scalable geospatial context window |
| title_full_unstemmed | Correction: Understanding the spatial dimension of natural language by measuring the spatial semantic similarity of words through a scalable geospatial context window |
| title_short | Correction: Understanding the spatial dimension of natural language by measuring the spatial semantic similarity of words through a scalable geospatial context window |
| title_sort | correction: understanding the spatial dimension of natural language by measuring the spatial semantic similarity of words through a scalable geospatial context window |
| topic | Correction |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8009350/ https://www.ncbi.nlm.nih.gov/pubmed/33784341 http://dx.doi.org/10.1371/journal.pone.0249618 |
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