Indeed while the key point of NER systems on written text is their generalization capabilities when processing unknown words, this feature is not relevant for ASR transcripts as the system cannot generate words out of the lexicon (there are no unknown words).
we propose here to fully exploit this constraint (close vocabulary): since the OOV words cannot appear in the ASR transcripts, the NER models can by over-trained on the words belonging to the ASR lexicon.