Evaluating the Efficacy of Supervised Learning vs Large Language Models for Identifying Cognitive Distortions and Suicidal Risks in Chinese Social Media.
Hongzhi QiQing ZhaoChangwei SongWei ZhaiDan LuoShuo LiuYi Jing YuFan WangHuijing ZouBing Xiang YangJianqiang LiGuanghui FuPublished in: CoRR (2023)
Keyphrases
- language model
- social media
- supervised learning
- language modeling
- document retrieval
- n gram
- statistical language models
- speech recognition
- information retrieval
- probabilistic model
- query expansion
- language modelling
- unsupervised learning
- test collection
- translation model
- document ranking
- retrieval model
- word segmentation
- context sensitive
- training data
- smoothing methods
- query terms
- pseudo relevance feedback
- active learning
- text summarization
- vector space model
- machine learning
- semi supervised
- term dependencies
- training set
- social networks
- ad hoc information retrieval
- language models for information retrieval
- language model for information retrieval
- query specific
- document length
- learning algorithm
- spoken term detection