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Natural Language Processing in Action
book

Natural Language Processing in Action

by Cole Howard, Hobson Lane, Hannes Hapke
April 2019
Intermediate to advanced content levelIntermediate to advanced
544 pages
17h 29m
English
Manning Publications
Content preview from Natural Language Processing in Action

11 Information extraction (named entity extraction and question answering)

This chapter covers

  • Sentence segmentation
  • Named entity recognition (NER)
  • Numerical information extraction
  • Part-of-speech (POS) tagging and dependency tree parsing
  • Logical relation extraction and knowledge bases

One last skill you need before you can build a full-featured chatbot is extracting information or knowledge from natural language text.

11.1 Named entities and relations

You’d like your machine to extract pieces of information and facts from text so it can know a little bit about what a user is saying. For example, imagine a user says “Remind me to read aiindex.org on Monday.” You’d like that statement to trigger a calendar entry or alarm for the next Monday after ...

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