PivotFEC: Enhancing Few-shot Factual Error Correction with a Pivot Task Approach using Large Language Models.
Xingwei HeA-Long JinJun MaYuan YuanSiu Ming YiuPublished in: EMNLP (Findings) (2023)
Keyphrases
- error correction
- language model
- language modeling
- n gram
- probabilistic model
- document retrieval
- retrieval model
- error detection
- error correcting
- speech recognition
- test collection
- data hiding
- query expansion
- channel coding
- information retrieval
- language modelling
- context sensitive
- ad hoc information retrieval
- language models for information retrieval
- statistical language models
- video shots
- relevance model
- video sequences
- smoothing methods
- query terms
- pseudo relevance feedback
- error control
- video data
- translation model
- watermarking scheme
- vector space model
- magnetic tape
- okapi bm
- error detection and correction
- block codes
- image classification