Utilizing Large Language Models to Generate Synthetic Data to Increase the Performance of BERT-Based Neural Networks.
Chancellor R. WoolseyPrakash BishtJoshua M. RothmanGondy LeroyPublished in: CoRR (2024)
Keyphrases
- synthetic data
- language model
- neural network
- language modeling
- n gram
- probabilistic model
- information retrieval
- document retrieval
- retrieval model
- statistical language models
- language modelling
- pattern recognition
- speech recognition
- query expansion
- data sets
- test collection
- real image data
- real world
- language models for information retrieval
- ad hoc information retrieval
- document ranking
- relevance model
- vector space model
- retrieval effectiveness
- query terms
- pseudo relevance feedback
- synthetic datasets
- smoothing methods
- document length
- context sensitive
- machine learning