GeDa: Improving training data with large language models for Aspect Sentiment Triplet Extraction.
Weixing MaiZhengxuan ZhangYifan ChenKuntao LiYun XuePublished in: Knowl. Based Syst. (2024)
Keyphrases
- language model
- training data
- language modeling
- n gram
- probabilistic model
- document retrieval
- sentiment analysis
- information retrieval
- retrieval model
- speech recognition
- document level
- training set
- query expansion
- language modelling
- test collection
- decision trees
- statistical language models
- information extraction
- smoothing methods
- learning algorithm
- query terms
- sentiment classification
- context sensitive
- classification accuracy
- pseudo relevance feedback
- opinion mining
- relevance model
- translation model
- vector space model
- language models for information retrieval
- naive bayes
- ad hoc information retrieval
- language model for information retrieval