Joint Slot Filling and Intent Detection via Capsule Neural Networks

Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip Yu
2019 Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics  
Being able to recognize words as slots and detect the intent of an utterance has been a keen issue in natural language understanding. The existing works either treat slot filling and intent detection separately in a pipeline manner, or adopt joint models which sequentially label slots while summarizing the utterancelevel intent without explicitly preserving the hierarchical relationship among words, slots, and intents. To exploit the semantic hierarchy for effective modeling, we propose a
more » ... ebased neural network model which accomplishes slot filling and intent detection via a dynamic routing-by-agreement schema. A rerouting schema is proposed to further synergize the slot filling performance using the inferred intent representation. Experiments on two real-world datasets show the effectiveness of our model when compared with other alternative model architectures, as well as existing natural language understanding services.
doi:10.18653/v1/p19-1519 dblp:conf/acl/ZhangLDFY19 fatcat:hjs43rjej5ddzejbmojqfvie2y