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Existing task-oriented chatbots heavily rely on spoken language understanding (SLU) systems to determine a user's utterance's intent and other key information for fulfilling specific tasks.
A density-based algorithm for discovering clusters in large spatial databases with noise
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An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction
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Dialog Intent Induction with Deep Multi-View Clustering
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Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
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Benchmarking Natural Language Understanding Services for building Conversational Agents
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Cluster ensembles: A survey of approaches with recent extensions and applications
Boongoen, T.; and Iam-On, N. 2018 · 2018
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Multi-class classification without multi-class labels
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J.; Chang, M.-W.; Lee, K.; and Toutanova, K. 2019 · 2019
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Xingkun Liu, P. S., Arash Eshghi; and Rieser, V. 2019 · 2019
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Intent Mining from past conversations for Conversational Agent
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Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement
Lin, T.-E.; Xu, H.; and Zhang, H. 2020 · 2020
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