Context is not key: Detecting Alzheimer's disease with both classical and transformer-based neural language models

No abstract is available for this paper.

• Publication year

  2023

• Venue

  Natural Language Processing Journal

• Publication date

  2023-12-01

• Fields of study

  Medicine, Computer Science

• Identifiers
  DOI 10.1016/j.nlp.2023.100046
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Multimodal Deep Learning Models for Detecting Dementia From Speech and Transcripts

  2022cited by this paper
• Automatic Detection of Alzheimer's Disease Using Spontaneous Speech Only

  2021cited by this paper
• Automatic Detection and Assessment of Alzheimer Disease Using Speech and Language Technologies in Low-Resource Scenarios

  2021cited by this paper
• Using the Outputs of Different Automatic Speech Recognition Paradigms for Acoustic- and BERT-Based Alzheimer's Dementia Detection Through Spontaneous Speech

  2021cited by this paper
• Temporal Integration of Text Transcripts and Acoustic Features for Alzheimer's Diagnosis Based on Spontaneous Speech

  2021cited by this paper
• Comparing Pre-trained and Feature-Based Models for Prediction of Alzheimer's Disease Based on Speech

  2021cited by this paper
• Crossing the “Cookie Theft” Corpus Chasm: Applying What BERT Learns From Outside Data to the ADReSS Challenge Dementia Detection Task

  2021cited by this paper
• Classifying Alzheimer's Disease Using Audio and Text-Based Representations of Speech

  2021cited by this paper
• Recognition of Alzheimer’s Dementia From the Transcriptions of Spontaneous Speech Using fastText and CNN Models

  2021cited by this paper
• A Comparison of Acoustic and Linguistics Methodologies for Alzheimer's Dementia Recognition

  2020cited by this paper
• Disfluencies and Fine-Tuning Pre-Trained Language Models for Detection of Alzheimer's Disease

  2020cited by this paper
• Automated Screening for Alzheimer's Dementia Through Spontaneous Speech

  2020cited by this paper
• Exploring MMSE Score Prediction Using Verbal and Non-Verbal Cues

  2020cited by this paper
• Artificial Intelligence, Speech, and Language Processing Approaches to Monitoring Alzheimer’s Disease: A Systematic Review

  2020cited by this paper
• Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks

  2020cited by this paper
• What Does BERT Learn about the Structure of Language?

  2019cited by this paper
• A Review of Automated Speech and Language Features for Assessment of Cognitive and Thought Disorders

  2019cited by this paper
• Alzheimer’s Disease and Speech Background

  2019cited by this paper
• SciPy 1.0: fundamental algorithms for scientific computing in Python

  2019cited by this paper
• BioBERT: a pre-trained biomedical language representation model for biomedical text mining

  2019cited by this paper
• Detecting Signs of Dementia Using Word Vector Representations

  2018cited by this paper
• An N-Gram Based Approach to the Automatic Diagnosis of Alzheimer's Disease from Spoken Language

  2017cited by this paper
• Connected Speech in Neurodegenerative Language Disorders: A Review

  2017cited by this paper
• Speech Processing Approach for Diagnosing Dementia in an Early Stage

  2017cited by this paper
• Manual and Automatic Transcriptions in Dementia Detection from Speech

  2017cited by this paper
• Attention is All you Need

  2017cited by this paper
• Diagnosing People with Dementia Using Automatic Conversation Analysis

  2016cited by this paper
• MIMIC-III, a freely accessible critical care database

  2016cited by this paper
• Feature selection for spontaneous speech analysis to aid in Alzheimer's disease diagnosis: A fractal dimension approach

  2015cited by this paper
• The Montreal Cognitive Assessment

  2015cited by this paper
• Automatic speech analysis for the assessment of patients with predementia and Alzheimer's disease

  2015cited by this paper
• Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books

  2015cited by this paper
• Linguistic Features Identify Alzheimer’s Disease in Narrative Speech

  2015cited by this paper
• Learning Predictive Linguistic Features for Alzheimer’s Disease and related Dementias using Verbal Utterances

  2014cited by this paper
• Features and Machine Learning Classification of Connected Speech Samples from Patients with Autopsy Proven Alzheimer's Disease with and without Additional Vascular Pathology

  2014cited by this paper
• Neuropsychiatric symptoms in Alzheimer's disease: Past progress and anticipation of the future

  2013cited by this paper
• API design for machine learning software: experiences from the scikit-learn project

  2013cited by this paper
• Longitudinal detection of dementia through lexical and syntactic changes in writing: a case study of three British novelists

  2011cited by this paper
• [Mini-mental state examination (MMSE)].

  2011cited by this paper
• Scikit-learn: Machine Learning in Python

  2011cited by this paper
• Comparison of Values of Pearson's and Spearman's Correlation Coefficients on the Same Sets of Data

  2011cited by this paper
• The Kendall Rank Correlation Coefficient

  2007cited by this paper
• Early life linguistic ability, late life cognitive function, and neuropathology: findings from the Nun Study.

  2005cited by this paper
• Automatic detection and rating of dementia of Alzheimer type through lexical analysis of spontaneous speech

  2005cited by this paper
• Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy

  2003cited by this paper
• [Mini-mental state examination].

  2001cited by this paper
• Statistical methods for assessing agreement between two methods of clinical measurement.

  1986cited by this paper

• Multi-level fusion framework for Alzheimer's recognition using speech and textual features

  2026cites this paper
• Spatial Attention-Based Adaptive CNN Model for Differentiating Dementia with Lewy Bodies and Alzheimer's Disease

  2025cites this paper
• Incremental Learning Static Word Embeddings for Low-Resource NLP

  2025cites this paper
• Word2Vec Approaches in Classifying Schizophrenia Through Speech Pattern

  2025cites this paper
• LLMCARE: early detection of cognitive impairment via transformer models enhanced by LLM-generated synthetic data

  2025cites this paper
• Optimizing Alzheimer’s Disease Diagnosis Using Ensemble Machine Learning Techniques: A Comparative Study

  2025cites this paper
• A Scoping Review on Conversational Memory and Characteristics of Conversations in Alzheimer's Disease

  2025cites this paper
• NeuroNet-AD: A Multimodal Deep Learning Framework for Multiclass Alzheimer’s Disease Diagnosis

  2025cites this paper
• Decoding depression: Analyzing social network insights for depression severity assessment with transformers and explainable AI

  2024cites this paper
• Advancing Alzheimer's Diagnosis: Performance Analysis of Deep Learning Ensembles in Medical Imaging

  2024cites this paper