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2406.15966
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Evaluating the Effectiveness of the Foundational Models for Q&A Classification in Mental Health care
23 June 2024
Hassan Alhuzali
Ashwag Alasmari
AI4MH
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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
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
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
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
Jaya Chaturvedi
S. Velupillai
Robert Stewart
A. Roberts
33
5
0
03 Apr 2023
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
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
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
Hassan Alhuzali
Sophia Ananiadou
99
90
0
25 Jan 2021
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
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
Wissam Antoun
Fady Baly
Hazem M. Hajj
113
970
0
28 Feb 2020
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
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
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
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
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
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
Bjarke Felbo
A. Mislove
Anders Søgaard
Iyad Rahwan
Sune Lehmann
87
744
0
01 Aug 2017
1