HadoopIt/rnn-nlu
A TensorFlow implementation of attention-based RNN/LSTM models for natural language understanding tasks including intent detection and slot filling.
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This repository provides a TensorFlow implementation of attention-based recurrent neural networks for sequence classification and sequence labeling. The models target spoken language understanding, performing joint intent detection and slot filling tasks on the ATIS dataset. It supports bidirectional RNNs and attention mechanisms, with configurable multi-task training for classification and tagging objectives.
Frequently asked
- What is HadoopIt/rnn-nlu?
- A TensorFlow implementation of attention-based RNN/LSTM models for natural language understanding tasks including intent detection and slot filling.
- Is rnn-nlu open source?
- Yes — HadoopIt/rnn-nlu is an open-source project tracked on heatdrop.
- What language is rnn-nlu written in?
- HadoopIt/rnn-nlu is primarily written in Python.
- How popular is rnn-nlu?
- HadoopIt/rnn-nlu has 491 stars on GitHub.
- Where can I find rnn-nlu?
- HadoopIt/rnn-nlu is on GitHub at https://github.com/HadoopIt/rnn-nlu.