Thank you for the great work.
Could you please share the pretrained class vectors and tagger checkpoints for the tagger, for example
all_class_vec_KAIROS.pt?
Also I cannot quite figure out how to reproduce zero-shot event extraction (paragraph 4.4 of your paper). What should be the process (command line with arguments) to extract a new event? Alternatively, if I add more events to the KAIROS ontology, how could I fine-tune for them?
As I understand, the tagger checkpoint is created in train_tagger.py. Then I'd need to use it to classify documents and add event types to training/test/dev data. Are there scripts for that?
Thank you for the great work.
Could you please share the pretrained class vectors and tagger checkpoints for the tagger, for example
all_class_vec_KAIROS.pt?
Also I cannot quite figure out how to reproduce zero-shot event extraction (paragraph 4.4 of your paper). What should be the process (command line with arguments) to extract a new event? Alternatively, if I add more events to the KAIROS ontology, how could I fine-tune for them?
As I understand, the tagger checkpoint is created in train_tagger.py. Then I'd need to use it to classify documents and add event types to training/test/dev data. Are there scripts for that?