Recurrent Context Window Networks for Italian Named Entity Recognizer
In this paper, we introduce a Deep Neural Network (DNN) for engineering Named Entity Recognizers (NERs) in Italian. Our network uses a sliding window of word contexts to predict tags. It relies on a simple word-level log-likelihood as a cost function and uses a new recurrent feedback mechanism to en...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | article |
| Language: | EN |
| Published: |
Accademia University Press
2016
|
| Subjects: | |
| Online Access: | https://doaj.org/article/4524f7e164484008a35bc7a5fbe1b5b2 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|