An automated essay scoring systems: a systematic literature review
Assessment in the Education system plays a significant role in judging student performance.
The present evaluation system is through human assessment. As the number of teachers' …
The present evaluation system is through human assessment. As the number of teachers' …
The eras and trends of automatic short answer grading
Automatic short answer grading (ASAG) is the task of assessing short natural language
responses to objective questions using computational methods. The active research in this …
responses to objective questions using computational methods. The active research in this …
[PDF][PDF] Learning to grade short answer questions using semantic similarity measures and dependency graph alignments
In this work we address the task of computerassisted assessment of short student answers.
We combine several graph alignment features with lexical semantic similarity measures …
We combine several graph alignment features with lexical semantic similarity measures …
Survey on automated short answer grading with deep learning: from word embeddings to transformers
S Haller, A Aldea, C Seifert, N Strisciuglio - ar** individual students
improve mastery. Short answer grading is a crucial component of such platforms. However …
improve mastery. Short answer grading is a crucial component of such platforms. However …
[PDF][PDF] Fast and easy short answer grading with high accuracy
We present a fast, simple, and high-accuracy short answer grading system. Given a
shortanswer question and its correct answer, key measures of the correctness of a student …
shortanswer question and its correct answer, key measures of the correctness of a student …
Powergrading: a clustering approach to amplify human effort for short answer grading
S Basu, C Jacobs, L Vanderwende - Transactions of the Association …, 2013 - direct.mit.edu
We introduce a new approach to the machine-assisted grading of short answer questions.
We follow past work in automated grading by first training a similarity metric between student …
We follow past work in automated grading by first training a similarity metric between student …
Investigating transformers for automatic short answer grading
L Camus, A Filighera - Artificial Intelligence in Education: 21st International …, 2020 - Springer
Recent advancements in the field of deep learning for natural language processing made it
possible to use novel deep learning architectures, such as the Transformer, for increasingly …
possible to use novel deep learning architectures, such as the Transformer, for increasingly …
Collaboratively built semi-structured content and Artificial Intelligence: The story so far
Recent years have seen a great deal of work that exploits collaborative, semi-structured
content for Artificial Intelligence (AI) and Natural Language Processing (NLP). This special …
content for Artificial Intelligence (AI) and Natural Language Processing (NLP). This special …