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Evaluating the Effectiveness of the Foundational Models for Q&A
  Classification in Mental Health care

Evaluating the Effectiveness of the Foundational Models for Q&A Classification in Mental Health care

23 June 2024
Hassan Alhuzali
Ashwag Alasmari
    AI4MH
ArXivPDFHTML

Papers citing "Evaluating the Effectiveness of the Foundational Models for Q&A Classification in Mental Health care"

18 / 18 papers shown
Title
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics
Kai He
Rui Mao
Qika Lin
Yucheng Ruan
Xiang Lan
Mengling Feng
Min Zhang
LM&MA
AILaw
209
173
0
28 Jan 2025
ChatCounselor: A Large Language Models for Mental Health Support
ChatCounselor: A Large Language Models for Mental Health Support
June M. Liu
Donghao Li
He Cao
Tianhe Ren
Zeyi Liao
Jiamin Wu
AI4MH
70
39
0
27 Sep 2023
Emotion fusion for mental illness detection from social media: A survey
Emotion fusion for mental illness detection from social media: A survey
Tianlin Zhang
Kailai Yang
Shaoxiong Ji
Sophia Ananiadou
63
55
0
19 Apr 2023
Identifying Mentions of Pain in Mental Health Records Text: A Natural
  Language Processing Approach
Identifying Mentions of Pain in Mental Health Records Text: A Natural Language Processing Approach
Jaya Chaturvedi
S. Velupillai
Robert Stewart
A. Roberts
33
5
0
03 Apr 2023
MentalBERT: Publicly Available Pretrained Language Models for Mental
  Healthcare
MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare
Shaoxiong Ji
Tianlin Zhang
Luna Ansari
Jie Fu
Prayag Tiwari
Min Zhang
VLM
AI4MH
65
230
0
29 Oct 2021
PsyQA: A Chinese Dataset for Generating Long Counseling Text for Mental
  Health Support
PsyQA: A Chinese Dataset for Generating Long Counseling Text for Mental Health Support
Hao Sun
Zhenru Lin
Chujie Zheng
Siyang Liu
Minlie Huang
RALM
55
85
0
03 Jun 2021
The Interplay of Variant, Size, and Task Type in Arabic Pre-trained
  Language Models
The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models
Go Inoue
Bashar Alhafni
Nurpeiis Baimukan
Houda Bouamor
Nizar Habash
73
235
0
11 Mar 2021
SpanEmo: Casting Multi-label Emotion Classification as Span-prediction
SpanEmo: Casting Multi-label Emotion Classification as Span-prediction
Hassan Alhuzali
Sophia Ananiadou
99
90
0
25 Jan 2021
ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic
ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic
Muhammad Abdul-Mageed
AbdelRahim Elmadany
El Moatez Billah Nagoudi
VLM
112
461
0
27 Dec 2020
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks
Suchin Gururangan
Ana Marasović
Swabha Swayamdipta
Kyle Lo
Iz Beltagy
Doug Downey
Noah A. Smith
VLM
AI4CE
CLL
152
2,428
0
23 Apr 2020
AraBERT: Transformer-based Model for Arabic Language Understanding
AraBERT: Transformer-based Model for Arabic Language Understanding
Wissam Antoun
Fady Baly
Hazem M. Hajj
113
970
0
28 Feb 2020
ALBERT: A Lite BERT for Self-supervised Learning of Language
  Representations
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Zhenzhong Lan
Mingda Chen
Sebastian Goodman
Kevin Gimpel
Piyush Sharma
Radu Soricut
SSL
AIMat
368
6,455
0
26 Sep 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
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
659
24,464
0
26 Jul 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Zhilin Yang
Zihang Dai
Yiming Yang
J. Carbonell
Ruslan Salakhutdinov
Quoc V. Le
AI4CE
230
8,433
0
19 Jun 2019
Publicly Available Clinical BERT Embeddings
Publicly Available Clinical BERT Embeddings
Emily Alsentzer
John R. Murphy
Willie Boag
W. Weng
Di Jin
Tristan Naumann
Matthew B. A. McDermott
AI4MH
156
1,974
0
06 Apr 2019
BioBERT: a pre-trained biomedical language representation model for
  biomedical text mining
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Jinhyuk Lee
Wonjin Yoon
Sungdong Kim
Donghyeon Kim
Sunkyu Kim
Chan Ho So
Jaewoo Kang
OOD
156
5,659
0
25 Jan 2019
Deep contextualized word representations
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
214
11,556
0
15 Feb 2018
Using millions of emoji occurrences to learn any-domain representations
  for detecting sentiment, emotion and sarcasm
Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm
Bjarke Felbo
A. Mislove
Anders Søgaard
Iyad Rahwan
Sune Lehmann
87
744
0
01 Aug 2017
1