Chinese Word Segmentation Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern) 2019 Moderator Election Q&A - Questionnaire 2019 Community Moderator Election Results
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Chinese Word Segmentation
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election Results
$begingroup$
Following this paper https://www.aclweb.org/anthology/D17-1079, I'm stuck with Paragraph 2 "Baseline Segmentation Model". In this section they basically explain how they feed the chinese word embeddings into the bi-LSTM model. In particular they use this formula:
efi = concat1(ewi, ewi−1wi),
= tanh(W1[ewi; ewi−1wi])
I don't really get what they are doing here and how can I replicate it with Keras?
nlp
New contributor
$endgroup$
add a comment |
$begingroup$
Following this paper https://www.aclweb.org/anthology/D17-1079, I'm stuck with Paragraph 2 "Baseline Segmentation Model". In this section they basically explain how they feed the chinese word embeddings into the bi-LSTM model. In particular they use this formula:
efi = concat1(ewi, ewi−1wi),
= tanh(W1[ewi; ewi−1wi])
I don't really get what they are doing here and how can I replicate it with Keras?
nlp
New contributor
$endgroup$
add a comment |
$begingroup$
Following this paper https://www.aclweb.org/anthology/D17-1079, I'm stuck with Paragraph 2 "Baseline Segmentation Model". In this section they basically explain how they feed the chinese word embeddings into the bi-LSTM model. In particular they use this formula:
efi = concat1(ewi, ewi−1wi),
= tanh(W1[ewi; ewi−1wi])
I don't really get what they are doing here and how can I replicate it with Keras?
nlp
New contributor
$endgroup$
Following this paper https://www.aclweb.org/anthology/D17-1079, I'm stuck with Paragraph 2 "Baseline Segmentation Model". In this section they basically explain how they feed the chinese word embeddings into the bi-LSTM model. In particular they use this formula:
efi = concat1(ewi, ewi−1wi),
= tanh(W1[ewi; ewi−1wi])
I don't really get what they are doing here and how can I replicate it with Keras?
nlp
nlp
New contributor
New contributor
New contributor
asked 42 secs ago
Giulia CassaràGiulia Cassarà
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