Papers by Catherine Kobus
Knowledge extraction from aeronautical messages (NOTAMs) with self-supervised language models for aircraft pilots (2022.naacl-industry)
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| Challenge: | During pre-flight briefings, aircraft pilots analyse a long list of NOTAMs . the messages are usually written in the English language, but the phrasing is very special . |
| Approach: | They pretrain language models derived from BERT on circa 1 million unlabeled NOTAMs . they reuse the learnt representations on three downstream tasks valuable for pilots - criticality prediction, named entity recognition and translation into a structured language called Airlang. |
| Outcome: | The proposed language model can be used on criticality prediction, named entity recognition and translation into a structured language called Airlang. |