Image de couverture de livre

Cross-Demographic Portability of Deep NLP-Based Depression Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Rutowski, Tomek, Shriberg, Elizabeth, Harati, Amir, Lu, Yang, Oliveira, Ricardo, Chlebek, Piotr
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Toward Corpus Size Requirements for Training and Evaluating Depression Risk Models Using Spoken Language
par: Rutowski, Tomek, et autres
Publié: (2024)

Depression and Anxiety Prediction Using Deep Language Models and Transfer Learning
par: Rutowski, Tomasz, et autres
Publié: (2024)

Speech-Based Depression Prediction Using Encoder-Weight-Only Transfer Learning and a Large Corpus
par: Harati, Amir, et autres
Publié: (2024)

Robust Speech and Natural Language Processing Models for Depression Screening
par: Lu, Y., et autres
Publié: (2024)

Optimizing Speech-Input Length for Speaker-Independent Depression Classification
par: Rutowski, Tomasz, et autres
Publié: (2024)

Deanthropomorphising NLP: Can a Language Model Be Conscious?
par: Shardlow, Matthew, et autres
Publié: (2022)

Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction
par: Xu, Ting, et autres
Publié: (2025)

Discovering Salient Neurons in Deep NLP Models
par: Durrani, Nadir, et autres
Publié: (2022)

Figuratively Speaking: Authorship Attribution via Multi-Task Figurative Language Modeling
par: Katsios, Gregorios A, et autres
Publié: (2024)

Towards a Generative Approach for Emotion Detection and Reasoning
par: Bhaumik, Ankita, et autres
Publié: (2024)

On the State of NLP Approaches to Modeling Depression in Social Media: A Post-COVID-19 Outlook
par: Bucur, Ana-Maria, et autres
Publié: (2024)

Scaling up Discovery of Latent Concepts in Deep NLP Models
par: Hawasly, Majd, et autres
Publié: (2023)

Assessing ML Classification Algorithms and NLP Techniques for Depression Detection: An Experimental Case Study
par: Lorenzoni, Giuliano, et autres
Publié: (2024)

Advancing NLP Security by Leveraging LLMs as Adversarial Engines
par: Srinivasan, Sudarshan, et autres
Publié: (2024)

Lessons from Studying Two-Hop Latent Reasoning
par: Balesni, Mikita, et autres
Publié: (2024)

Elucidating Mechanisms of Demographic Bias in LLMs for Healthcare
par: Ahsan, Hiba, et autres
Publié: (2025)

Uncovering Agendas: A Novel French & English Dataset for Agenda Detection on Social Media
par: Katsios, Gregorios, et autres
Publié: (2024)

Leveraging Large Language Models for Concept Graph Recovery and Question Answering in NLP Education
par: Yang, Rui, et autres
Publié: (2024)

Tokenization and Morphological Fidelity in Uralic NLP: A Cross-Lingual Evaluation
par: Xu, Nuo, et autres
Publié: (2026)

Cross-Linguistic Transfer in Multilingual NLP: The Role of Language Families and Morphology
par: Bankula, Ajitesh, et autres
Publié: (2025)

Cross-Lingual Stability and Bias in Instruction-Tuned Language Models for Humanitarian NLP
par: Nemkova, Poli, et autres
Publié: (2025)

Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP Concepts
par: Gao, Fan, et autres
Publié: (2023)

The Nature of NLP: Analyzing Contributions in NLP Papers
par: Pramanick, Aniket, et autres
Publié: (2024)

TurkicNLP: An NLP Toolkit for Turkic Languages
par: Hakimov, Sherzod
Publié: (2026)

NLP-ADBench: NLP Anomaly Detection Benchmark
par: Li, Yuangang, et autres
Publié: (2024)

Speech-Based Depressive Mood Detection in the Presence of Multiple Sclerosis: A Cross-Corpus and Cross-Lingual Study
par: Gonzalez-Machorro, Monica, et autres
Publié: (2025)

Exploring transfer learning for Deep NLP systems on rarely annotated languages
par: Yadav, Dipendra, et autres
Publié: (2024)

Diverse Perspectives, Divergent Models: Cross-Cultural Evaluation of Depression Detection on Twitter
par: Ali, Nuredin, et autres
Publié: (2024)

Accurate Medical Named Entity Recognition Through Specialized NLP Models
par: Hu, Jiacheng, et autres
Publié: (2024)

Autoencoder-Based Framework to Capture Vocabulary Quality in NLP
par: Dang, Vu Minh Hoang, et autres
Publié: (2025)

NLP-AKG: Few-Shot Construction of NLP Academic Knowledge Graph Based on LLM
par: Lan, Jiayin, et autres
Publié: (2025)

Latent Concept-based Explanation of NLP Models
par: Yu, Xuemin, et autres
Publié: (2024)

Active Learning for NLP with Large Language Models
par: Wang, Xuesong
Publié: (2024)

Langformers: Unified NLP Pipelines for Language Models
par: Lamsal, Rabindra, et autres
Publié: (2025)

Measuring the Robustness of NLP Models to Domain Shifts
par: Calderon, Nitay, et autres
Publié: (2023)

TajPersLexon: A Tajik-Persian Lexical Resource and Hybrid Model for Cross-Script Low-Resource NLP
par: Arabov, Mullosharaf K.
Publié: (2026)

ECBD: Evidence-Centered Benchmark Design for NLP
par: Liu, Yu Lu, et autres
Publié: (2024)

A Survey of Early Exit Deep Neural Networks in NLP
par: Bajpai, Divya Jyoti, et autres
Publié: (2025)

Unveiling Dual Quality in Product Reviews: An NLP-Based Approach
par: Poświata, Rafał, et autres
Publié: (2025)

AraReasoner: Evaluating Reasoning-Based LLMs for Arabic NLP
par: Hasanaath, Ahmed, et autres
Publié: (2025)