Cutting Edge Technologies in Otology Field

Chung, Jae Ho; Lee, Seung Hwan

doi:10.7599/hmr.2017.37.1.25

Cited by 2 publications

(1 citation statement)

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“…His review will improve readers' understanding on the relationship between the PI3K/Akt pathway and AD [3]. Fourth, Dr. Jung who is an expert on otology wrote cutting edge technologies on the otology field and reviewed their usefulness for patients with ear problems [4]. Fifth, Dr. Yu concisely talked about gestational diabetes mellitus (GDM) and how to deal with GDM [5].…”

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confidence: 99%

Current update in diverse diseases

Koh

2017

Hanyang Med Rev

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In Task Oriented Dialogue (TOD) system, detecting and inducing new intents are two main challenges to apply the system in the real world. In this paper, we suggest the semantic multi-view model to resolve these two challenges: (1) SBERT for General Embedding (GE), (2) Multi Domain Batch (MDB) for dialogue domain knowledge, and (3) Proxy Gradient Transfer (PGT) for cluster-specialized semantic. MDB feeds diverse dialogue datasets to the model at once to tackle the multi-domain problem by learning the multiple domain knowledge. We introduce a novel method PGT, which employs the Siamese network to fine-tune the model with a clustering method directly. Our model can learn how to cluster dialogue utterances by using PGT. Experimental results demonstrate that our multi-view model with MDB and PGT significantly improves the Open Intent Induction performance compared to baseline systems.

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confidence: 99%