Exploiting prompt learning with pre-trained language models for
Alzheimer's Disease detection

Exploiting prompt learning with pre-trained language models for Alzheimer's Disease detection

29 October 2022

Jiajun Deng

Tianzi Wang

Papers citing "Exploiting prompt learning with pre-trained language models for Alzheimer's Disease detection"

19 / 19 papers shown

Title
Leveraging Pretrained Representations with Task-related Keywords for Alzheimer's Disease Detection Jinchao Li Kaitao Song Junan Li Bo Zheng Dongsheng Li Xixin Wu Xunying Liu Helen M. Meng 56 13 0 14 Mar 2023
Exploring linguistic feature and model combination for speech recognition based automatic AD detection Yi Wang Tianzi Wang Zi Ye Lingwei Meng Shoukang Hu Xixin Wu Xunying Liu Helen M. Meng 56 20 0 28 Jun 2022
Conformer Based Elderly Speech Recognition System for Alzheimer's Disease Detection Tianzi Wang Jiajun Deng Mengzhe Geng Zi Ye Shoukang Hu Yi Wang Mingyu Cui Zengrui Jin Xunying Liu Helen M. Meng 55 21 0 23 Jun 2022
Clinical Prompt Learning with Frozen Language Models Niall Taylor Yi Zhang Dan W Joyce A. Nevado-Holgado Andrey Kormilitzin VLM LM&MA 27 32 0 11 May 2022
HealthPrompt: A Zero-shot Learning Paradigm for Clinical Natural Language Processing Sonish Sivarajkumar Yanshan Wang VLM LM&MA 80 56 0 09 Mar 2022
OpenPrompt: An Open-source Framework for Prompt-learning Ning Ding Shengding Hu Weilin Zhao Yulin Chen Zhiyuan Liu Haitao Zheng Maosong Sun VLM LLMAG 83 290 0 03 Nov 2021
Alzheimer's Dementia Recognition Using Acoustic, Lexical, Disfluency and Speech Pause Features Robust to Noisy Inputs Morteza Rohanian Julian Hough Matt Purver 47 43 0 29 Jun 2021
Alzheimer's Disease Detection from Spontaneous Speech through Combining Linguistic Complexity and (Dis)Fluency Features with Pretrained Language Models Yu Qiao Xuefeng Yin Daniel Wiechmann E. Kerz 47 23 0 16 Jun 2021
Detecting cognitive decline using speech only: The ADReSSo Challenge Saturnino Luz F. Haider S. D. L. Fuente Davida Fromm B. MacWhinney 68 156 0 23 Mar 2021
Multimodal Inductive Transfer Learning for Detection of Alzheimer's Dementia and its Severity U. Sarawgi W. Zulfikar Nouran Soliman Pattie Maes 35 58 0 30 Aug 2020
To BERT or Not To BERT: Comparing Speech and Language-based Approaches for Alzheimer's Disease Detection Aparna Balagopalan Benjamin Eyre Frank Rudzicz Jekaterina Novikova 42 123 0 26 Jul 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 680 41,736 0 28 May 2020
Alzheimer's Dementia Recognition through Spontaneous Speech: The ADReSS Challenge Saturnino Luz F. Haider S. D. L. Fuente Davida Fromm B. MacWhinney 27 262 0 14 Apr 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 328 1,613 0 21 Jan 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 377 20,053 0 23 Oct 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 529 24,351 0 26 Jul 2019
ERNIE: Enhanced Representation through Knowledge Integration Yu Sun Shuohuan Wang Yukun Li Shikun Feng Xuyi Chen Han Zhang Xin Tian Danxiang Zhu Hao Tian Hua Wu 119 899 0 19 Apr 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.6K 94,511 0 11 Oct 2018
Enriching Complex Networks with Word Embeddings for Detecting Mild Cognitive Impairment from Speech Transcripts L. B. D. Santos Edilson Anselmo Corrêa Júnior O. N. Oliveira D. R. Amancio L. Mansur S. Aluísio 38 44 0 26 Apr 2017