End-to-End Recurrent Neural Network Models for Vietnamese Named Entity Recognition: Word-Level Vs. Character-Level.
Thai-Hoang PhamPhuong Le-HongPublished in: PACLING (2017)
Keyphrases
- end to end
- named entity recognition
- recurrent neural networks
- information extraction
- word level
- named entities
- natural language processing
- maximum entropy
- conditional random fields
- text summarization
- semi supervised
- relation extraction
- probabilistic model
- text localization and recognition
- neural network
- feed forward
- training data
- information retrieval
- viterbi algorithm
- machine learning