Deep Document Analysis Task

A Deep Document Analysis Task is a document analysis task that is a deep analysis task (which that involves the analysis and interpretation of the content in a document to extract relevant information and relationships among the information elements).

• AKA: Document Understanding.
• Context:
  • It can (typically) include tasks such as Named Entity Recognition, Sentiment Analysis, Summarization, and Relation Extraction.
  • It can be a fundamental step in information retrieval, content classification, and knowledge extraction from unstructured text.
  • It can range from understanding simple documents like news articles to complex documents like legal agreements and scientific papers.
  • It can involve both syntactic analysis and semantic understanding of the text.
  • It can be performed using rule-based, statistical, or machine learning techniques.
  • …
• Example(s):
  • Extracting named entities and their relationships from a news article.
  • Categorizing and tagging content in a document for content management systems.
  • Creating a summary and extracting key points from a scientific paper.
  • Analyzing customer feedback documents for sentiment and trends.
  • a Legal Contract Understanding Task.
  • …
• Counter-Example(s):
  • Image Recognition which involves understanding visual content rather than text.
  • Speech Recognition which involves converting spoken language into text.
  • …
• See: Document Classification, Information Extraction, Summarization Task, Text Mining, Natural Language Processing.

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References

2020

• (Google AI Blog, 2020) ⇒ https://ai.googleblog.com/2020/04/enabling-document-understanding-through.html Retrieved: 2023-6-22..
  • Quote: "Document Understanding AI transforms your documents into structured data that can be used to streamline and automate document-centric processes in a wide range of industries."

2010

• (Natural Language Processing, 2010) ⇒ Jurafsky, D., & Martin, J. H. (2010). “Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition". Prentice Hall.
  • Quote: "Document understanding involves the interpretation and analysis of textual content in documents to extract meaningful information."

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