One of the main responsibilities of teachers and professors in the humanities is grading students essays . Of course, manual essay grading for a classroom of students is a time-consuming process, and can even become tedious at times. Indeed, the grading of essays is often a topic of controversy, due to its intrinsic subjectivity. Instructors might be more inclined to better reward essays with a particular voice or writing style, or even a specific position on the essay prompt. With these and other issues taken into consideration, the problem of essay grading is clearly a field ripe for a more systematic, unbiased method of rating written work. There has been much research into creating AI agents, ultimately based on statistical models, that can automatically grade essays and therefore reduce or even eliminate the potential for bias.
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Essay scoring: Automated Essay Scoring is the task of assigning a score to an essay, usually in the context of assessing the language ability of a language learner. The quality of an essay is affected by the following four primary dimensions: topic relevance, organization and coherence, word usage and sentence complexity, and grammar and mechanics. Automated Essay Scoring. Existing approaches for automated essay scoring and document representation learning typically rely on discourse parsers to incorporate discourse structure into text representation. Cross-prompt automated essay scoring AES requires the system to use non target-prompt essays to award scores to a target-prompt essay.