Fine-tuning with HED-IT: The impact of human post-editing for dialogical language models.
Daniela OcchipintiMichele MarchiIrene MondellaHuiyuan LaiFelice Dell'OrlettaMalvina NissimMarco GueriniPublished in: ACL (Findings) (2024)
Keyphrases
- language model
- fine tuning
- language modeling
- n gram
- information retrieval
- retrieval model
- document retrieval
- language modelling
- probabilistic model
- statistical language models
- query expansion
- speech recognition
- fine tune
- viable alternative
- smoothing methods
- context sensitive
- vector space model
- document ranking
- test collection
- ad hoc information retrieval
- query terms
- language models for information retrieval
- language model for information retrieval
- fine tuned
- word error rate
- term dependencies
- pseudo relevance feedback
- error rate
- spoken term detection
- machine learning