Knowledge extraction from aeronautical messages (NOTAMs) with self-supervised language models for aircraft pilots.
Alexandre ArnoldFares ErnezCatherine KobusMarion-Cécile MartinPublished in: NAACL-HLT (Industry Papers) (2022)
Keyphrases
- knowledge extraction
- language model
- air traffic
- language modeling
- document retrieval
- language modelling
- probabilistic model
- n gram
- textual documents
- knowledge discovery
- speech recognition
- retrieval model
- context sensitive
- statistical language models
- test collection
- data mining
- query expansion
- information retrieval
- pseudo relevance feedback
- smoothing methods
- language model for information retrieval
- ad hoc information retrieval
- term dependencies
- translation model
- vector space model
- okapi bm
- real world
- databases
- document ranking
- association rules
- spoken term detection