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Transfer Learning and Sentence Level Features for Named Entity Recognition on Tweets
Pius von Däniken
|
Mark Cieliebak
|
Paper Details:
Month: September
Year: 2017
Location: Copenhagen, Denmark
Venue:
WNUT |
WS |
Citations
URL
A Multi-lingual Multi-task Architecture for Low-resource Sequence Labeling
Ying Lin
|
Shengqi Yang
|
Veselin Stoyanov
|
Heng Ji
|
Results of the WNUT2017 Shared Task on Novel and Emerging Entity Recognition
Leon Derczynski
|
Eric Nichols
|
Marieke van Erp
|
Nut Limsopatham
|
Investigating Effective Parameters for Fine-tuning of Word Embeddings Using Only a Small Corpus
Kanako Komiya
|
Hiroyuki Shinnou
|
https://github.com/facebookresearch/
https://github.com/epfml/sent2vec
https://www.tensorflow.org/
http://www.nltk.org/api/nltk
https://arxiv.org/abs/1607.04606
https://arxiv.org/abs/1511.08308
https://arxiv.org/abs/1412.6980
https://arxiv.org/abs/1703.02507
https://arxiv.org/abs/1211.5063
https://arxiv.org/abs/1703.06345
Field Of Study
Linguistic Trends
Embeddings
Task
Tagging
Named Entity Recognition
Approach
Deep Learning
Language
English
French
Dataset
News
Social Media
Twitter
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