Data-Driven NLP Task

A Data-Driven NLP Task is an NLP task that is a data-driven task (that is provided a corpus).

• AKA: Corpus-based Task.
• Context:
  • It can be solved by a Corpus-based System (that implements a Corpus-based algorithm).
  • It can be solved by a Data-Driven NLP System (that implements a data-driven NLP algorithm).
  • It can range from being an Unsupervised NLP Task to being a Supervised NLP Task to being a Model Transfer-based NLP Task.
  • It can range from being a Data-Driven Natural Language Understanding Task to being a Data-Driven Natural Language Generation Task.
  • …
• Example(s):
  • a Data-Driven End-of-Sentence Detection Task.
  • a Data-Driven Missing Word Prediction Task.
  • a Data-Driven Named Entity Recognition Task.
  • a Data-Driven Information Extraction Task.
  • a Data-Driven Document Summarization Task.
  • a Data-Driven Question Answering Task.
  • a Transfer Learning-based NLP Task, such as few-shot NLP.
  • …
• Counter-Example(s):
  • Heuristic NLP.
• See: Text Mining Task, Corpus-based Vectorization.

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