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Found 11 papers, 0 papers with code
Don't take ``nswvtnvakgxpm'' for an answer --The surprising vulnerability of automatic content scoring systems to adversarial input
Automatic content scoring systems are widely used on short answer tasks to save human effort.
Context-based Automated Scoring of Complex Mathematical Responses
The tasks of automatically scoring either textual or algebraic responses to mathematical questions have both been well-studied, albeit separately.
Using PRMSE to evaluate automated scoring systems in the presence of label noise
The effect of noisy labels on the performance of NLP systems has been studied extensively for system training.
An empirical investigation of neural methods for content scoring of science explanations
With the widespread adoption of the Next Generation Science Standards (NGSS), science teachers and online learning environments face the challenge of evaluating students{'} integration of different dimensions of science learning.
How to account for mispellings: Quantifying the benefit of character representations in neural content scoring models
Character-based representations in neural models have been claimed to be a tool to overcome spelling variation in in word token-based input.
A Semantic Role-based Approach to Open-Domain Automatic Question Generation
We present a novel rule-based system for automatic generation of factual questions from sentences, using semantic role labeling (SRL) as the main form of text analysis.
Atypical Inputs in Educational Applications
In large-scale educational assessments, the use of automated scoring has recently become quite common.
Investigating neural architectures for short answer scoring
Neural approaches to automated essay scoring have recently shown state-of-the-art performance.
Evaluating Argumentative and Narrative Essays using Graphs
This work investigates whether the development of ideas in writing can be captured by graph properties derived from the text.
