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  2. Lexical Markup Framework - Wikipedia

    en.wikipedia.org/wiki/Lexical_Markup_Framework

    Language resource management – Lexical markup framework (LMF; ISO 24613), produced by ISO/TC 37, is the ISO standard for natural language processing (NLP) and machine-readable dictionary (MRD) lexicons. [1] The scope is standardization of principles and methods relating to language resources in the contexts of multilingual communication.

  3. Sales decision process - Wikipedia

    en.wikipedia.org/wiki/Sales_Decision_Process

    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.

  4. Textual entailment - Wikipedia

    en.wikipedia.org/wiki/Textual_entailment

    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 ] (

  5. Natural language processing - Wikipedia

    en.wikipedia.org/wiki/Natural_language_processing

    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.

  6. Natural language generation - Wikipedia

    en.wikipedia.org/wiki/Natural_language_generation

    Natural language generation (NLG) is a software process that produces natural language output. A widely-cited survey of NLG methods describes NLG as "the subfield of artificial intelligence and computational linguistics that is concerned with the construction of computer systems that can produce understandable texts in English or other human languages from some underlying non-linguistic ...

  7. Outline of natural language processing - Wikipedia

    en.wikipedia.org/wiki/Outline_of_natural...

    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.

  8. Natural Language Toolkit - Wikipedia

    en.wikipedia.org/wiki/Natural_Language_Toolkit

    The Natural Language Toolkit, or more commonly NLTK, is a suite of libraries and programs for symbolic and statistical natural language processing (NLP) for English written in the Python programming language. It supports classification, tokenization, stemming, tagging, parsing, and semantic reasoning functionalities. [4]

  9. Sales process engineering - Wikipedia

    en.wikipedia.org/wiki/Sales_process_engineering

    Person promoted an early form of sales process engineering. At the time, postwar senses of the terms sales process engineering and sales engineering did not yet exist; Person called his efforts "sales engineering". [2] Corporations the 1920s through 1960s sought to apply analysis and synthesis to improve business functions.