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  2. Automated essay scoring - Wikipedia

    en.wikipedia.org/wiki/Automated_essay_scoring

    Automated essay scoring (AES) is the use of specialized computer programs to assign grades to essays written in an educational setting. It is a form of educational assessment and an application of natural language processing .

  3. Les Perelman - Wikipedia

    en.wikipedia.org/wiki/Les_Perelman

    In 2012, Perelman demonstrated that long, pretentious essays could achieve higher scores from the ETS scoring engine e-Rater as opposed to well written essays. [13] In 2014, Perelman collaborated with students at MIT and Harvard to develop BABEL, the "Basic Automatic B.S. Essay Language" Generator.

  4. Comparison of parser generators - Wikipedia

    en.wikipedia.org/.../Comparison_of_parser_generators

    Regular languages are a category of languages (sometimes termed Chomsky Type 3) which can be matched by a state machine (more specifically, by a deterministic finite automaton or a nondeterministic finite automaton) constructed from a regular expression.

  5. Holistic grading - Wikipedia

    en.wikipedia.org/wiki/Holistic_grading

    Holistic grading or holistic scoring, in standards-based education, is an approach to scoring essays using a simple grading structure that bases a grade on a paper's overall quality. [1] This type of grading, which is also described as nonreductionist grading, [ 2 ] contrasts with analytic grading, [ 3 ] which takes more factors into account ...

  6. Rubric (academic) - Wikipedia

    en.wikipedia.org/wiki/Rubric_(academic)

    A scoring rubric typically includes dimensions or "criteria" on which performance is rated, definitions and examples illustrating measured attributes, and a rating scale for each dimension. Joan Herman, Aschbacher, and Winters identify these elements in scoring rubrics: [3] Traits or dimensions serving as the basis for judging the student response

  7. 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 ...

  8. Syntactic parsing (computational linguistics) - Wikipedia

    en.wikipedia.org/wiki/Syntactic_parsing...

    The problem of parsing can also be modelled as finding a maximum-probability spanning arborescence over the graph of all possible dependency edges, and then picking dependency labels for the edges in tree we find. Given this, we can use an extension of the Chu–Liu/Edmonds algorithm with an edge scorer and a

  9. Paper generator - Wikipedia

    en.wikipedia.org/wiki/Paper_generator

    A paper generator is computer software that composes scholarly papers in the style of those that appear in academic journals or conference proceedings. Typically, the generator uses technical jargon from the field to compose sentences that are grammatically correct and seem erudite but are actually nonsensical. [ 1 ]

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