ucasir/TDNN
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The python source used in the TDNN model in Jin et al. ACL 2018. Following python files are included: -embedding.py: Manage word embedding file in HDF5 format. -utils.py: Functions used for data preparation. -metrics.py: Evaluation metrics. -essay_model.py: Model implementation. -train_part_essay_glove.py: Training of TDNN(SEM) -train_part_essay_parser.py: Training of TDNN(SEM+Synt)
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