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It also leaves no place for metadata such as an identifier for the particular sample, the confidence level of the NER assignment, and so on, which are commonplace in NLP systems. Because of these limitations, data must often be converted out of IOB format, or projects must create custom extensions, which has led to a large number of not-quite ...
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 ...
Natural language understanding (NLU) or natural language interpretation (NLI) [1] is a subset of natural language processing in artificial intelligence that deals with machine reading comprehension.
Latent semantic analysis (LSA) is a technique in natural language processing, in particular distributional semantics, of analyzing relationships between a set of documents and the terms they contain by producing a set of concepts related to the documents and terms.
Parent Organization Research Laboratory Type Headquarters Ref. Abdul Majid Bhurgri Institute of Language Engineering: Language Engineering: Governmental
Semantic analytics – Sentence breaking (also known as sentence boundary disambiguation and sentence detection) – given a chunk of text, finds the sentence boundaries. Sentence boundaries are often marked by periods or other punctuation marks, but these same characters can serve other purposes (e.g. marking abbreviations).
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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 ...