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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.

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。

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本文引用的文献

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LREC Int Conf Lang Resour Eval. 2016 May;2016:2100-2107.
3
Measuring idiosyncratic interests in children with autism.
Proc Conf Assoc Comput Linguist Meet. 2015 Jul;2015:212-217. doi: 10.3115/v1/p15-2035.
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