Robustness and Sensitivity of BERT Models Predicting Alzheimer's Disease from Text

24 September 2021

Jekaterina Novikova

Papers citing "Robustness and Sensitivity of BERT Models Predicting Alzheimer's Disease from Text"

22 / 22 papers shown

Title
A Systematic Review of NLP for Dementia -- Tasks, Datasets and Opportunities Lotem Peled-Cohen Roi Reichart 48 1 0 29 Sep 2024
Fantastic Features and Where to Find Them: Detecting Cognitive Impairment with a Subsequence Classification Guided Approach Benjamin Eyre Aparna Balagopalan Jekaterina Novikova 13 8 0 13 Oct 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 24 122 0 26 Jul 2020
Comparing Natural Language Processing Techniques for Alzheimer's Dementia Prediction in Spontaneous Speech Thomas Searle Zina M. Ibrahim Richard J. B. Dobson 21 46 0 12 Jun 2020
Alzheimer's Dementia Recognition through Spontaneous Speech: The ADReSS Challenge Saturnino Luz F. Haider S. D. L. Fuente Davida Fromm B. MacWhinney 24 258 0 14 Apr 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 282 42,038 0 03 Dec 2019
Lexical Features Are More Vulnerable, Syntactic Features Have More Predictive Power Jekaterina Novikova Aparna Balagopalan Ksenia Shkaruta Frank Rudzicz 32 7 0 30 Sep 2019
Text Summarization with Pretrained Encoders Yang Liu Mirella Lapata MILM 395 1,439 0 22 Aug 2019
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets Mor Geva Yoav Goldberg Jonathan Berant 314 325 0 21 Aug 2019
Impact of ASR on Alzheimer's Disease Detection: All Errors are Equal, but Deletions are More Equal than Others Aparna Balagopalan Ksenia Shkaruta Jekaterina Novikova 28 10 0 02 Apr 2019
The Effect of Heterogeneous Data for Alzheimer's Disease Detection from Speech Aparna Balagopalan Jekaterina Novikova Frank Rudzicz Marzyeh Ghassemi 35 21 0 29 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.0K 93,936 0 11 Oct 2018
Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models Tong Niu Joey Tianyi Zhou AAML 42 85 0 06 Sep 2018
Detecting cognitive impairments by agreeing on interpretations of linguistic features Zining Zhu Jekaterina Novikova Frank Rudzicz 19 27 0 20 Aug 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 113 2,024 0 10 Jul 2018
Breaking NLI Systems with Sentences that Require Simple Lexical Inferences Max Glockner Vered Shwartz Yoav Goldberg NAI 70 365 0 06 May 2018
Performance Impact Caused by Hidden Bias of Training Data for Recognizing Textual Entailment Masatoshi Tsuchiya 54 160 0 22 Apr 2018
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 364 921 0 21 Apr 2018
Annotation Artifacts in Natural Language Inference Data Suchin Gururangan Swabha Swayamdipta Omer Levy Roy Schwartz Samuel R. Bowman Noah A. Smith 108 1,167 0 06 Mar 2018
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering Yash Goyal Tejas Khot D. Summers-Stay Dhruv Batra Devi Parikh CoGe 297 3,187 0 02 Dec 2016
Improving Neural Machine Translation Models with Monolingual Data Rico Sennrich Barry Haddow Alexandra Birch 214 2,710 0 20 Nov 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 889 149,474 0 22 Dec 2014