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Posts Tagged ‘natural language process’

TA/NLP: It’s a jungle out there!

Text analytics and natural language processing have made tremendous advances in the last few years.  Unfortunately, there is a lot more to understanding natural language that TA/NLP. I was reading a paper today about NLP pipelines for question answering that used machine learning to find what tools are good at what tasks and to configure [...]

Logic from the English of Science, Government, and Business

Our software is translating even long and complicated sentences from regulations to textbooks into formal logic (i.e,, not necessarily first-order logic, but more general predicate calculus).   As you can see below, we can translate this understanding into various logical formalisms including defeasible first-order logic, which we are applying in Vulcan’s Project Halo.  This includes classical [...]

NLP: depictive in an HPSG lexicon?

We’re having a great time using OWL to clarify and enrich the semantics of the rich model underlying the ERG. Here’s an example, FYI. If you’d like to know more (or help), please drop us a line! Overall the project will demonstrate our capabilities for transforming everyday sentences into RIF and business rule languages using SBVR extended with defeasibility and other capabilities, all modeled in the same OWL ontology.