Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling

6 Sep 2016 Bing Liu Ian Lane

Attention-based encoder-decoder neural network models have recently shown promising results in machine translation and speech recognition. In this work, we propose an attention-based neural network model for joint intent detection and slot filling, both of which are critical steps for many speech understanding and dialog systems... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Intent Detection ATIS Attention Encoder-Decoder NN Accuracy 98.43 # 3
F1 95.87 # 3

Methods used in the Paper


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