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本文引用的文献

1
Robust and Accurate Features for Detecting and Diagnosing Autism Spectrum Disorders.用于检测和诊断自闭症谱系障碍的强大且准确的特征
Interspeech. 2013 Aug;2013:191-194.
2
Building Language Resources for Exploring Autism Spectrum Disorders.构建用于探索自闭症谱系障碍的语言资源。
LREC Int Conf Lang Resour Eval. 2016 May;2016:2100-2107.
3
Measuring idiosyncratic interests in children with autism.测量自闭症儿童的特殊兴趣。
Proc Conf Assoc Comput Linguist Meet. 2015 Jul;2015:212-217. doi: 10.3115/v1/p15-2035.
4
Prevalence and Characteristics of Autism Spectrum Disorder Among Children Aged 8 Years--Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2012.8岁儿童自闭症谱系障碍的患病率及特征——自闭症与发育障碍监测网络,美国11个地点,2012年
MMWR Surveill Summ. 2016 Apr 1;65(3):1-23. doi: 10.15585/mmwr.ss6503a1.
5
Uh, Um, and Autism: Filler Disfluencies as Pragmatic Markers in Adolescents with Optimal Outcomes from Autism Spectrum Disorder.呃、嗯与自闭症:填充性言语不流畅作为自闭症谱系障碍预后良好青少年的语用标记
J Autism Dev Disord. 2016 Mar;46(3):1061-70. doi: 10.1007/s10803-015-2651-y.
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Rethinking the concepts of 'local or global processors': evidence from Williams syndrome, Down syndrome, and Autism Spectrum Disorders.重新思考“局部或全局处理器”的概念:来自威廉姆斯综合征、唐氏综合征和自闭症谱系障碍的证据。
Dev Sci. 2016 May;19(3):452-68. doi: 10.1111/desc.12312. Epub 2015 May 25.
7
Distributional semantic models for the evaluation of disordered language.用于评估语言紊乱的分布语义模型。
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Applying machine learning to facilitate autism diagnostics: pitfalls and promises.应用机器学习促进自闭症诊断:陷阱与前景。
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利用自然语言技术探索自闭症谱系障碍

Exploring Autism Spectrum Disorders Using HLT.

作者信息

Parish-Morris Julia, Liberman Mark, Ryant Neville, Cieri Christopher, Bateman Leila, Ferguson Emily, Schultz Robert T

机构信息

Center for Autism Research. Children's Hospital of Philadelphia 3535 Market Street, Suite 860, Philadelphia, PA, 19104 USA.

Linguistic Data Consortium. University of Pennsylvania 3600 Market Street, Suite 810, Philadelphia, PA, 19104 USA.

出版信息

Proc Conf Assoc Comput Linguist Meet. 2016 Jun;2016:74-84. doi: 10.18653/v1/w16-0308.

DOI:10.18653/v1/w16-0308
PMID:33071446
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7558465/
Abstract

The phenotypic complexity of Autism Spectrum Disorder motivates the application of modern computational methods to large collections of observational data, both for improved clinical diagnosis and for better scientific understanding. We have begun to create a corpus of annotated language samples relevant to this research, and we plan to join with other researchers in pooling and publishing such resources on a large scale. The goal of this paper is to present some initial explorations to illustrate the opportunities that such datasets will afford.

摘要

自闭症谱系障碍的表型复杂性促使人们将现代计算方法应用于大量观测数据,以改善临床诊断并增进科学理解。我们已开始创建与该研究相关的带注释语言样本语料库,并计划与其他研究人员合作,大规模汇集并发布此类资源。本文的目的是进行一些初步探索,以说明此类数据集将带来的机遇。