Search results
Results From The WOW.Com Content Network
The McKinsey 7S Framework is a management model developed by business consultants Robert H. Waterman, Jr. and Tom Peters (who also developed the MBWA-- "Management By Walking Around" motif, and authored In Search of Excellence) in the 1980s.
Natural language processing (NLP) is a subfield of computer science and especially artificial intelligence.It is primarily concerned with providing computers with the ability to process data encoded in natural language and is thus closely related to information retrieval, knowledge representation and computational linguistics, a subfield of linguistics.
The sales decision process is a formalized sales process companies use to manage the decision process behind a sale. SDP “is a defined series of steps you follow as you guide prospects from initial contact to purchase.” [7]
Sales decision process is a formalized sales process companies use to manage the decision process behind a sale. SDP “is a defined series of steps you follow as you guide prospects from initial contact to purchase.” [1] This method includes planning specific timelines and milestones at the beginning of a sale, both internally and with the business customer.
Natural-language programming (NLP) is an ontology-assisted way of programming in terms of natural-language sentences, e.g. English. [1] A structured document with Content, sections and subsections for explanations of sentences forms a NLP document, which is actually a computer program. Natural language programming is not to be mixed up with ...
General Architecture for Text Engineering (GATE) is a Java suite of natural language processing (NLP) tools for man tasks, including information extraction in many languages. [1] It is now used worldwide by a wide community of scientists, companies, teachers and students. It was originally developed at the University of Sheffield beginning in 1995.
It is a method of educational assessment and an application of natural-language processing. Its objective is to classify a large set of textual entities into a small number of discrete categories, corresponding to the possible grades—for example, the numbers 1 to 6. Therefore, it can be considered a problem of statistical classification.
In the TE framework, the entailing and entailed texts are termed text (t) and hypothesis (h), respectively.Textual entailment is not the same as pure logical entailment – it has a more relaxed definition: "t entails h" (t ⇒ h) if, typically, a human reading t would infer that h is most likely true. [1]