The seq
task-type is used for standard sequence labeling tasks. It assumes one
label per word. It can for example be used to do POS tagging:
I PRON
choose VERB
you PRON
Pickachu PROPN
! PUNCT
Use VERB
thunderbolt NOUN
! PUNCT
The dataset configuration file should looks like this (assuming the data is stored in machamp.train
):
{
"POS": {
"train_data_path": "machamp.train",
"dev_data_path": "machoke.dev",
"word_idx": 0,
"tasks": {
"upos": {
"task_type": "seq",
"column_idx": 1
}
}
}
}