Semantic Similarity of Common Verbal Expressions in Older Adults through a Pre-Trained Model
Health problems in older adults lead to situations where communication with peers, family and caregivers becomes challenging for seniors; therefore, it is necessary to use alternative methods to facilitate communication. In this context, Augmentative and Alternative Communication (AAC) methods are w...
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| Format: | ARTÍCULO |
| Language: | es_ES |
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2024
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| Online Access: | http://dspace.ucuenca.edu.ec/handle/123456789/44239 https://www.scopus.com/record/display.uri?eid=2-s2.0-85183421024&doi=10.3390%2fbdcc8010003&origin=inward&txGid=8efd2ef986066b4715af5a1de3065544 |
| _version_ | 1795386280260927488 |
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| author | Cedillo Orellana, Irene Priscila |
| author_facet | Cedillo Orellana, Irene Priscila |
| author_sort | Cedillo Orellana, Irene Priscila |
| collection | DSpace |
| description | Health problems in older adults lead to situations where communication with peers, family and caregivers becomes challenging for seniors; therefore, it is necessary to use alternative methods to facilitate communication. In this context, Augmentative and Alternative Communication (AAC) methods are widely used to support this population segment. Moreover, with Artificial Intelligence (AI), and specifically, machine learning algorithms, AAC can be improved. Although there have been several studies in this field, it is interesting to analyze common phrases used by seniors, depending on their context (i.e., slang and everyday expressions typical of their age). This paper proposes a semantic analysis of the common phrases of older adults and their corresponding meanings through Natural Language Processing (NLP) techniques and a pre-trained language model using semantic textual similarity to represent the older adults’ phrases with their corresponding graphic images (pictograms). The results show good scores achieved in the semantic similarity between the phrases of the older adults and the definitions, so the relationship between the phrase and the pictogram has a high degree of probability. |
| format | ARTÍCULO |
| id | oai:dspace.ucuenca.edu.ec:123456789-44239 |
| institution | Universidad de Cuenca |
| language | es_ES |
| publishDate | 2024 |
| record_format | dspace |
| spelling | oai:dspace.ucuenca.edu.ec:123456789-442392024-03-12T13:54:18Z Semantic Similarity of Common Verbal Expressions in Older Adults through a Pre-Trained Model Cedillo Orellana, Irene Priscila text mining Word embedding Natural language processing Neural network pictogram Pre trained models Semantic similarity Health problems in older adults lead to situations where communication with peers, family and caregivers becomes challenging for seniors; therefore, it is necessary to use alternative methods to facilitate communication. In this context, Augmentative and Alternative Communication (AAC) methods are widely used to support this population segment. Moreover, with Artificial Intelligence (AI), and specifically, machine learning algorithms, AAC can be improved. Although there have been several studies in this field, it is interesting to analyze common phrases used by seniors, depending on their context (i.e., slang and everyday expressions typical of their age). This paper proposes a semantic analysis of the common phrases of older adults and their corresponding meanings through Natural Language Processing (NLP) techniques and a pre-trained language model using semantic textual similarity to represent the older adults’ phrases with their corresponding graphic images (pictograms). The results show good scores achieved in the semantic similarity between the phrases of the older adults and the definitions, so the relationship between the phrase and the pictogram has a high degree of probability. 2024-03-12T13:54:14Z 2024-03-12T13:54:14Z 2024 ARTÍCULO 2504-2289 http://dspace.ucuenca.edu.ec/handle/123456789/44239 https://www.scopus.com/record/display.uri?eid=2-s2.0-85183421024&doi=10.3390%2fbdcc8010003&origin=inward&txGid=8efd2ef986066b4715af5a1de3065544 10.3390/bdcc8010003 es_ES application/pdf Big Data and Cognitive Computing |
| spellingShingle | text mining Word embedding Natural language processing Neural network pictogram Pre trained models Semantic similarity Cedillo Orellana, Irene Priscila Semantic Similarity of Common Verbal Expressions in Older Adults through a Pre-Trained Model |
| title | Semantic Similarity of Common Verbal Expressions in Older Adults through a Pre-Trained Model |
| title_full | Semantic Similarity of Common Verbal Expressions in Older Adults through a Pre-Trained Model |
| title_fullStr | Semantic Similarity of Common Verbal Expressions in Older Adults through a Pre-Trained Model |
| title_full_unstemmed | Semantic Similarity of Common Verbal Expressions in Older Adults through a Pre-Trained Model |
| title_short | Semantic Similarity of Common Verbal Expressions in Older Adults through a Pre-Trained Model |
| title_sort | semantic similarity of common verbal expressions in older adults through a pre-trained model |
| topic | text mining Word embedding Natural language processing Neural network pictogram Pre trained models Semantic similarity |
| url | http://dspace.ucuenca.edu.ec/handle/123456789/44239 https://www.scopus.com/record/display.uri?eid=2-s2.0-85183421024&doi=10.3390%2fbdcc8010003&origin=inward&txGid=8efd2ef986066b4715af5a1de3065544 |
| work_keys_str_mv | AT cedilloorellanairenepriscila semanticsimilarityofcommonverbalexpressionsinolderadultsthroughapretrainedmodel |