Jan van Santen


2017

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Target word prediction and paraphasia classification in spoken discourse
Joel Adams | Steven Bedrick | Gerasimos Fergadiotis | Kyle Gorman | Jan van Santen
BioNLP 2017

We present a system for automatically detecting and classifying phonologically anomalous productions in the speech of individuals with aphasia. Working from transcribed discourse samples, our system identifies neologisms, and uses a combination of string alignment and language models to produce a lattice of plausible words that the speaker may have intended to produce. We then score this lattice according to various features, and attempt to determine whether the anomalous production represented a phonemic error or a genuine neologism. This approach has the potential to be expanded to consider other types of paraphasic errors, and could be applied to a wide variety of screening and therapeutic applications.

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Vector space models for evaluating semantic fluency in autism
Emily Prud’hommeaux | Jan van Santen | Douglas Gliner
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

A common test administered during neurological examination is the semantic fluency test, in which the patient must list as many examples of a given semantic category as possible under timed conditions. Poor performance is associated with neurological conditions characterized by impairments in executive function, such as dementia, schizophrenia, and autism spectrum disorder (ASD). Methods for analyzing semantic fluency responses at the level of detail necessary to uncover these differences have typically relied on subjective manual annotation. In this paper, we explore automated approaches for scoring semantic fluency responses that leverage ontological resources and distributional semantic models to characterize the semantic fluency responses produced by young children with and without ASD. Using these methods, we find significant differences in the semantic fluency responses of children with ASD, demonstrating the utility of using objective methods for clinical language analysis.

2015

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Measuring idiosyncratic interests in children with autism
Masoud Rouhizadeh | Emily Prud’hommeaux | Jan van Santen | Richard Sproat
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)

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Automated morphological analysis of clinical language samples
Kyle Gorman | Steven Bedrick | Géza Kiss | Eric Morley | Rosemary Ingham | Metrah Mohammed | Katina Papadakis | Jan van Santen
Proceedings of the 2nd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality

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Similarity Measures for Quantifying Restrictive and Repetitive Behavior in Conversations of Autistic Children
Masoud Rouhizadeh | Richard Sproat | Jan van Santen
Proceedings of the 2nd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality

2014

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Detecting linguistic idiosyncratic interests in autism using distributional semantic models
Masoud Rouhizadeh | Emily Prud’hommeaux | Jan van Santen | Richard Sproat
Proceedings of the Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality

2013

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Distributional semantic models for the evaluation of disordered language
Masoud Rouhizadeh | Emily Prud’hommeaux | Brian Roark | Jan van Santen
Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

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The Utility of Manual and Automatic Linguistic Error Codes for Identifying Neurodevelopmental Disorders
Eric Morley | Brian Roark | Jan van Santen
Proceedings of the Eighth Workshop on Innovative Use of NLP for Building Educational Applications

2011

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Classification of Atypical Language in Autism
Emily T. Prud’hommeaux | Brian Roark | Lois M. Black | Jan van Santen
Proceedings of the 2nd Workshop on Cognitive Modeling and Computational Linguistics

2010

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Autism and Interactional Aspects of Dialogue
Peter Heeman | Rebecca Lunsford | Ethan Selfridge | Lois Black | Jan van Santen
Proceedings of the SIGDIAL 2010 Conference