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Found 5 papers, 3 papers with code
Similarity-Based Content Scoring - How to Make S-BERT Keep Up With BERT
The dominating paradigm for content scoring is to learn an instance-based model, i. e. to use lexical features derived from the learner answers themselves.
Don’t Drop the Topic - The Role of the Prompt in Argument Identification in Student Writing
In this paper, we explore the role of topic information in student essays from an argument mining perspective.
Implicit Phenomena in Short-answer Scoring Data
We therefore quantify to what extent implicit language phenomena occur in short answer datasets and examine the influence they have on automatic scoring performance.
LeSpell - A Multi-Lingual Benchmark Corpus of Spelling Errors to Develop Spellchecking Methods for Learner Language
Spellchecking text written by language learners is especially challenging because errors made by learners differ both quantitatively and qualitatively from errors made by already proficient learners.
Linguistic Appropriateness and Pedagogic Usefulness of Reading Comprehension Questions
Automatic generation of reading comprehension questions is a topic receiving growing interest in the NLP community, but there is currently no consensus on evaluation metrics and many approaches focus on linguistic quality only while ignoring the pedagogic value and appropriateness of questions.
