def main():
trained_slu_test('./dailogreg.nbl.model.all', '../bootstrap.trn',
Utterance, '../bootstrap.sem')
trained_slu_test('./dailogreg.asr.model.all', '../bootstrap.trn',
Utterance, '../bootstrap.sem')
trained_slu_test('./dailogreg.trn.model.all', '../bootstrap.trn',
Utterance, '../bootstrap.sem')
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
if __name__ == "__main__":
import autopath
from alex.applications.PublicTransportInfoCS.slu.dailogregclassifier.test import trained_slu_test
from alex.components.asr.utterance import Utterance
if __name__ == "__main__":
trained_slu_test("./dailogreg.nbl.model.all", "../bootstrap.trn", Utterance, "../bootstrap.sem")
trained_slu_test("./dailogreg.asr.model.all", "../bootstrap.trn", Utterance, "../bootstrap.sem")
trained_slu_test("./dailogreg.trn.model.all", "../bootstrap.trn", Utterance, "../bootstrap.sem")
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from alex.applications.PublicTransportInfoCS.slu.dailogregclassifier.test import trained_slu_test
from alex.components.asr.utterance import Utterance
if __name__ == '__main__':
import autopath
trained_slu_test('./dailogreg.nbl.model.all', '../bootstrap.trn', Utterance, '../bootstrap.sem')
trained_slu_test('./dailogreg.asr.model.all', '../bootstrap.trn', Utterance, '../bootstrap.sem')
trained_slu_test('./dailogreg.trn.model.all', '../bootstrap.trn', Utterance, '../bootstrap.sem')
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import autopath
from alex.applications.PublicTransportInfoCS.slu.dailogregclassifier.test import trained_slu_test
from alex.components.asr.utterance import Utterance, UtteranceNBList
if __name__ == "__main__":
# regular experiment evaluating models trained on training data and evaluated on deb and test data
# **WARNING** due to data sparsity the metrics on the dev and test data fluctuate a lot
# therefore meaningful results can be only obtained using N-fold cross validation
trained_slu_test('./dailogreg.trn.model', '../dev.trn', Utterance,
'../dev.trn.hdc.sem')
trained_slu_test('./dailogreg.trn.model', '../test.trn', Utterance,
'../test.trn.hdc.sem')
trained_slu_test('./dailogreg.asr.model', '../dev.asr', Utterance,
'../dev.trn.hdc.sem')
trained_slu_test('./dailogreg.asr.model', '../test.asr', Utterance,
'../test.trn.hdc.sem')
trained_slu_test('./dailogreg.nbl.model', '../dev.nbl', UtteranceNBList,
'../dev.trn.hdc.sem')
trained_slu_test('./dailogreg.nbl.model', '../test.nbl', UtteranceNBList,
'../test.trn.hdc.sem')
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from alex.applications.PublicTransportInfoCS.slu.dailogregclassifier.test import trained_slu_test
from alex.components.asr.utterance import Utterance, UtteranceNBList
if __name__ == "__main__":
import autopath
# regular experiment evaluating models trained on training data and evaluated on deb and test data
# **WARNING** due to data sparsity the metrics on the dev and test data fluctuate a lot
# therefore meaningful results can be only obtained using N-fold cross validation
trained_slu_test('./dailogreg.trn.model', '../dev.trn', Utterance, '../dev.trn.hdc.sem')
trained_slu_test('./dailogreg.trn.model', '../test.trn', Utterance, '../test.trn.hdc.sem')
trained_slu_test('./dailogreg.asr.model', '../dev.asr', Utterance, '../dev.trn.hdc.sem')
trained_slu_test('./dailogreg.asr.model', '../test.asr', Utterance, '../test.trn.hdc.sem')
trained_slu_test('./dailogreg.nbl.model', '../dev.nbl', UtteranceNBList, '../dev.trn.hdc.sem')
trained_slu_test('./dailogreg.nbl.model', '../test.nbl', UtteranceNBList, '../test.trn.hdc.sem')
# cheating experiment on all data using models trained on all data
# though these models are used for live system
trained_slu_test('./dailogreg.trn.model.all', '../all.trn', Utterance, '../all.trn.hdc.sem')
trained_slu_test('./dailogreg.asr.model.all', '../all.asr', Utterance, '../all.trn.hdc.sem')
