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IBM Watson. IBM Watson is a computer system capable of answering questions posed in natural language. [1] It was developed as a part of IBM 's DeepQA project by a research team, led by principal investigator David Ferrucci. [2] Watson was named after IBM's founder and first CEO, industrialist Thomas J. Watson. [3][4]
The concepts of fluid intelligence (gf) and crystallized intelligence (gc) were introduced in 1943 by the psychologist Raymond Cattell. [1][2][3] According to Cattell's psychometrically -based theory, general intelligence (g) is subdivided into gf and gc. Fluid intelligence is the ability to solve novel reasoning problems and is correlated with ...
Natural language understanding. 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. NLU has been considered an AI-hard problem. [2]
Set-builder notation can be used to describe a set that is defined by a predicate, that is, a logical formula that evaluates to true for an element of the set, and false otherwise. [2] In this form, set-builder notation has three parts: a variable, a colon or vertical bar separator, and a predicate. Thus there is a variable on the left of the ...
Procedural knowledge (also known as know-how, knowing-how, and sometimes referred to as practical knowledge, imperative knowledge, or performative knowledge) [1] is the knowledge exercised in the performance of some task. Unlike descriptive knowledge (also known as declarative knowledge, propositional knowledge or "knowing-that"), which ...
The 1970s and 1980s saw the development of comprehensive theories in computational linguistics, which led to the development of ambitious projects in text comprehension and question answering. One example was the Unix Consultant (UC), developed by Robert Wilensky at U.C. Berkeley in the late 1980s.
This survey step typically only takes 3–5 minutes, but it provides an outline or framework for what will be presented. The reader should identify ideas and formulate questions about the content of the chapter. Question ("Q") Generate questions about the content of the reading. For example, convert headings and sub-headings into questions, and ...
Reading comprehension is the ability to process written text, understand its meaning, and to integrate with what the reader already knows. [1][2][3][4] Reading comprehension relies on two abilities that are connected to each other: word reading and language comprehension. [5] Comprehension specifically is a "creative, multifaceted process" that ...
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