full mouth extraction - significado y definición. Qué es full mouth extraction
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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 full mouth extraction - definición

TYPE OF TEXT MINING
Relationship Extraction; Relation extraction

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.
River mouth         
  • Xúquer]], [[Cullera]].
  • Aerial picture of the Kinburn Spit.
END OF A RIVER
Mouth (river); Mouth (water stream); Channel outflow; River inflow; Mouth of a river; Mouth (hydrology); Rivermouth
A river mouth is where a river flows into a larger body of water, such as another river, a lake/reservoir, a bay/gulf, a sea, or an ocean. At the river mouth, sediments are often deposited due to the slowing of the current reducing the carrying capacity of the water.
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.