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Traducción y análisis de palabras por inteligencia artificial ChatGPT
En esta página puede obtener un análisis detallado de una palabra o frase, producido utilizando la mejor tecnología de inteligencia artificial hasta la fecha:
- cómo se usa la palabra
- frecuencia de uso
- se utiliza con más frecuencia en el habla oral o escrita
- opciones de traducción
- ejemplos de uso (varias frases con traducción)
- etimología
Qué (quién) es extraction complications - definición
TYPE OF TEXT MINING
Relationship Extraction; Relation extraction
Complications of diabetes
MEDICAL CONDITIONS
Complications of Diabetes; Complications of diabetes mellitus; Diabetes complications; Prognosis of diabetes mellitus; Complication of diabetes mellitus; Diabetes complication; Complications related to diabetes
Complications of diabetes mellitus include problems that develop rapidly (acute) or over time (chronic) and may affect many organ systems. The complications of diabetes can dramatically impair quality of life and cause long-lasting disability.
Relationship extraction
A relationship extraction task requires the detection and classification of semantic relationship mentions within a set of artifacts, typically from text or XML documents. The task is very similar to that of information extraction (IE), but IE additionally requires the removal of repeated relations (disambiguation) and generally refers to the extraction of many different relationships.
Terminology extraction
AN AUTOMATIC METHOD OF ANALYSING TEXT IN ORDER TO IDENTIFY PHRASES WHICH FULFIL THE CRITERIA FOR TERMS
Term extraction; Term recognition
Terminology extraction (also known as term extraction, glossary extraction, term recognition, or terminology mining) is a subtask of information extraction. The goal of terminology extraction is to automatically extract relevant terms from a given corpus.
Wikipedia
Relationship extraction
A relationship extraction task requires the detection and classification of semantic relationship mentions within a set of artifacts, typically from text or XML documents. The task is very similar to that of information extraction (IE), but IE additionally requires the removal of repeated relations (disambiguation) and generally refers to the extraction of many different relationships.
