Cargando…
Named Entities and Their Role in Creating Context Information
Context encompasses the classification of a certain environment by its key attributes that take the role of semantic markers. It is an abstract representation of a certain data environment. In texts, the context classifies and represents a piece of text in a generalized form. Context can be a recurs...
Autor principal: | |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier B.V.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531913/ https://www.ncbi.nlm.nih.gov/pubmed/33042306 http://dx.doi.org/10.1016/j.procs.2020.09.243 |
_version_ | 1783589824216694784 |
---|---|
author | Englmeier, Kurt |
author_facet | Englmeier, Kurt |
author_sort | Englmeier, Kurt |
collection | PubMed |
description | Context encompasses the classification of a certain environment by its key attributes that take the role of semantic markers. It is an abstract representation of a certain data environment. In texts, the context classifies and represents a piece of text in a generalized form. Context can be a recursive construct when summarizing information on a more coarse-grained level. This paper presents identification and standardization of context on different levels of granularity that finally supports faster and more precise information retrieval. The prototypical system presented here applies supervised learning for a semi-automatic approach to extract, distil, and standardize data from text. The approach is based on named-entity recognition and simple ontologies for identification and disambiguation of context. Even though the prototype shown here still represents work in progress, it already demonstrates its potential for mining texts on different levels of context granularity. The paper presents the design of the Contexter system that supports identification and classification of misinformation and fake news around the topic Covid-19. |
format | Online Article Text |
id | pubmed-7531913 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Author(s). Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75319132020-10-05 Named Entities and Their Role in Creating Context Information Englmeier, Kurt Procedia Comput Sci Article Context encompasses the classification of a certain environment by its key attributes that take the role of semantic markers. It is an abstract representation of a certain data environment. In texts, the context classifies and represents a piece of text in a generalized form. Context can be a recursive construct when summarizing information on a more coarse-grained level. This paper presents identification and standardization of context on different levels of granularity that finally supports faster and more precise information retrieval. The prototypical system presented here applies supervised learning for a semi-automatic approach to extract, distil, and standardize data from text. The approach is based on named-entity recognition and simple ontologies for identification and disambiguation of context. Even though the prototype shown here still represents work in progress, it already demonstrates its potential for mining texts on different levels of context granularity. The paper presents the design of the Contexter system that supports identification and classification of misinformation and fake news around the topic Covid-19. The Author(s). Published by Elsevier B.V. 2020 2020-10-02 /pmc/articles/PMC7531913/ /pubmed/33042306 http://dx.doi.org/10.1016/j.procs.2020.09.243 Text en © 2020 The Author(s). Published by Elsevier B.V. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Englmeier, Kurt Named Entities and Their Role in Creating Context Information |
title | Named Entities and Their Role in Creating Context Information |
title_full | Named Entities and Their Role in Creating Context Information |
title_fullStr | Named Entities and Their Role in Creating Context Information |
title_full_unstemmed | Named Entities and Their Role in Creating Context Information |
title_short | Named Entities and Their Role in Creating Context Information |
title_sort | named entities and their role in creating context information |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531913/ https://www.ncbi.nlm.nih.gov/pubmed/33042306 http://dx.doi.org/10.1016/j.procs.2020.09.243 |
work_keys_str_mv | AT englmeierkurt namedentitiesandtheirroleincreatingcontextinformation |