| Challenge: | Language disturbances can be a diagnostic marker for neurodegenerative diseases, such as Alzheimer's disease, at earlier stages. |
| Approach: | They develop a corpus of audio recordings of the Cookie-theft, a standardized test that has been used in studies in the past. |
| Outcome: | The proposed corpus is based on audio recordings of the Cookie-theft . it provides a rich resource for future research and experimentation in many areas . |
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| Challenge: | Presented is the Slovak Autistic and Non-Autistic Child Speech Corpus . corpus contains over 15 hours of speech . |
| Approach: | They present a Slovak autistic and non-autistic child speech corpus . the corpus was primarily recorded to investigate lexical alignment . |
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| Challenge: | Language-based biomarkers have shown promising results in differentiating those with Alzheimer’s disease (AD) diagnosis from healthy individuals, but the earliest changes in language are thought to start years or even decades before the diagnosis. |
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Evaluating Sentence Segmentation in Different Datasets of Neuropsychological Language Tests in Brazilian Portuguese (2020.lrec-1)
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| Challenge: | Using automated analysis of connected speech is a promising direction for diagnosing cognitive impairments. |
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Shahla Farzana, Edoardo Stoppa, Alex Leow, Tamar Gollan, Raeanne Moore, David Salmon, Douglas Galasko, Erin Sundermann, Natalie Parde
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| Challenge: | Dementia is associated with language disorders which impede communication. |
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Multilingual prediction of Alzheimer’s disease through domain adaptation and concept-based language modelling (N19-1)
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| Challenge: | a new study examines the interaction between natural language use and gambling disorders. |
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Augmenting word2vec with latent Dirichlet allocation within a clinical application (N19-1)
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| Challenge: | Existing models that combine latent Dirichlet allocation and word embedding for distinguishing between speakers with and without Alzheimer’s disease from transcripts of picture descriptions are not suitable for clinical binary text classification tasks. |
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Towards Domain-Agnostic and Domain-Adaptive Dementia Detection from Spoken Language (2023.acl-long)
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| Challenge: | Domain adaptation (DA) techniques have been used to improve performance of NLP systems for healthcare tasks due to numerous complexities of data. |
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