Example: air traffic controller
CHAPTER 17 Information Extraction

CHAPTER 17 Information Extraction

Back to document page

3 7 7 7 5 17.1 Relation Extraction Let’s assume that we have detected the named entities in our sample text (perhaps using the techniques of Chapter 8), and would like to discern the relationships that exist among the detected entities: Citing high fuel prices,[ORG United Airlines]said[TIME Friday]it

  Information, Extraction, Information extraction

Download CHAPTER 17 Information Extraction


Information

Domain:

Source:

Link to this page:

Please notify us if you found a problem with this document:

Other abuse

Advertisement

Related search queries