amitkumarj441 / CapsRoute_NER

Capsule Routing for Named Entity Recognition

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CapsRoute_NER

Capsule Routing for Named Entity Recognition

Model

Dataset

-> Conll2003: dev, train, test

-> Rotten Tomatoes Dataset: train, test

Results

Model CoNLL-2003 Rotten Tomatoes Dataset Validation Accuracy
CapsNet ✔️ ✖️ 96.47
CapsNetGRU+FastText ✖️ ✔️ 85.86
CapsNetGRU+Toxic ✖️ ✔️ 85.74
BLSTM + CBOW ✔️ ✖️ 89.65
BLSTM + Skipgram ✔️ ✖️ 89.78
BLSTM+FastText ✔️ ✖️ 89.72
BLSTM+Glove6B50d ✔️ ✖️ 97.17
BLSTM+Glove6B200d ✔️ ✖️ 97.52
BLSTM+Glove6B300d ✔️ ✖️ 97.60
BLSTM+Glove42B300d ✔️ ✖️ 97.75
BLSTM+Glove840B300d ✔️ ✖️ 97.01

About

Capsule Routing for Named Entity Recognition

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Languages

Language:Jupyter Notebook 79.2%Language:Python 20.8%