Multi-Task Learning

This example is inspired by the classic paper Natural Language Processing (Almost) from Scratch by Collobert et al..

sentence	chunks	part_of_speech	named_entities
San Francisco is very foggy	B-NP I-NP B-VP B-ADJP I-ADJP	NNP NNP VBZ RB JJ	B-Loc I-Loc O O O
My dog likes eating sausage	B-NP I-NP B-VP B-VP B-NP	PRP NN VBZ VBG NN	O O O O O
Brutus Killed Julius Caesar	B-NP B-VP B-NP I-NP	NNP VBD NNP NNP	B-Per O B-Per I-Per

ludwig experiment \
--dataset nl_data.csv \
  --config_file config.yaml

With config.yaml:

input_features:
    -
        name: sentence
        type: sequence
        encoder: rnn
        cell: lstm
        bidirectional: true
        reduce_output: null

output_features:
    -
        name: chunks
        type: sequence
        decoder: tagger
    -
        name: part_of_speech
        type: sequence
        decoder: tagger
    -
        name: named_entities
        type: sequence
        decoder: tagger