Can We Use Large Language Models to Fill Relevance Judgment Holes?
Zahra AbbasiantaebChuan MengLeif AzzopardiMohammad AliannejadiPublished in: CoRR (2024)
Keyphrases
- language model
- test collection
- information retrieval
- relevance model
- language modeling
- document ranking
- okapi bm
- n gram
- statistical language modeling
- retrieval model
- probabilistic model
- speech recognition
- document retrieval
- statistical language models
- query expansion
- language modelling
- probabilistic retrieval models
- relevant documents
- query terms
- ad hoc information retrieval
- retrieval effectiveness
- document length
- language modeling framework
- context sensitive
- pseudo relevance feedback
- relevance feedback
- improve retrieval effectiveness
- term proximity
- retrieved documents
- smoothing methods
- error rate
- information retrieval systems
- language model for information retrieval
- topic modeling
- text retrieval
- co occurrence
- text mining
- search engine