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Dependencies: Formalising Semantic Catenae for Information Retrieval
[article]
2017
arXiv
pre-print
Building machines that can understand text like humans is an AI-complete problem. A great deal of research has already gone into this, with astounding results, allowing everyday people to discuss with their telephones, or have their reading materials analysed and classified by computers. A prerequisite for processing text semantics, common to the above examples, is having some computational representation of text as an abstract object. Operations on this representation practically correspond to
arXiv:1709.03742v1
fatcat:4fdrnsmwdnb4pe37b6ritmvnme