# "What is on your mind?" Automated Scoring of Mindreading in Childhood and Early Adolescence

arXiv: https://arxiv.org/abs/2011.08035 · HTML: https://mlsanity.com/paper/2011.08035/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 16 Nov 2020.

## Built on by (most cited first, 2 of 2)

- [longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks](https://mlsanity.com/paper/2206.14729/) (2022)
- [Can vectors read minds better than experts? Comparing data augmentation strategies for the automated scoring of children's mindreading ability](https://mlsanity.com/paper/2106.01635/) (2021)

## Abstract (arXiv)

In this paper we present the first work on the automated scoring of mindreading ability in middle childhood and early adolescence. We create MIND-CA, a new corpus of 11,311 question-answer pairs in English from 1,066 children aged 7 to 14. We perform machine learning experiments and carry out extensive quantitative and qualitative evaluation. We obtain promising results, demonstrating the applicability of state-of-the-art NLP solutions to a new domain and task.