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

Ontology-Driven Self-Supervision for Adverse Childhood Experiences Identification Using Social Media Datasets

Adverse Childhood Experiences (ACEs) are defined as a collection of highly stressful, and potentially traumatic, events or circumstances that occur throughout childhood and/or adolescence. They have been shown to be associated with increased risks of mental health diseases or other abnormal behaviours in later lives. However, the identification of ACEs from textual data with Natural Language Processing (NLP) is challenging because (a) there are no NLP ready ACE ontologies; (b) there are few resources available for machine learning, necessitating the data annotation from clinical experts; (c) c…

PoKi：一个大型的儿童诗歌数据集

PoKi: A Large Dataset of Poems by Children

儿童语言研究对于提高我们对儿童福祉的理解至关重要;特别是在确定影响幸福的因素，焦虑的来源，情绪调节的技巧以及应对压力的机制方面。然而，这项研究的大部分是由于缺乏大型儿童书面文本的可用性而受阻。我们提出了一个新的语料库的儿童写的文本，PoKi，其中包括约62000首诗写的儿童从1至12年级。PoKi在研究儿童语言方面特别有用，因为它附带了有关儿童作者年龄（他们的年级）的信息。我们沿着几个情感维度（效价，唤醒，支配）和离散的情感（愤怒，恐惧，悲伤，喜悦）分析PoKi中的单词。我们使用非参数回归模型的发展差异，从幼儿到青春期后期。结果显示，在青春期中期，效价下降尤其明显，而唤醒和支配在青春期达到顶峰。此外，还观察到情绪发展轨迹的性别差异。我们的研究结果支持并扩展了情绪发展研究的现状。