Modeling with Recurrent Neural Networks for Open Vocabulary Slots

COLING 2018 Jun-Seong KimJunghoe KimSeungUn ParkKwangyong LeeYoonju Lee

Dealing with {`}open-vocabulary{'} slots has been among the challenges in the natural language area. While recent studies on attention-based recurrent neural network (RNN) models have performed well in completing several language related tasks such as spoken language understanding and dialogue systems, there has been a lack of attempts to address filling slots that take on values from a virtually unlimited set... (read more)

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