Fmr Corp.

Ou Li

Hua Hao

Byung Chun

Tieyi Guo

Chao Yu

Yachao He

Methods and apparatuses are described for automatic refinement of intent classification for virtual assistant applications. A computing device creates utterance groups comprising messages. The device determines, using a first machine learning (ML) classifier, a first predicted intent associated with each utterance group and determines, using a second ML classifier, a second predicted intent associated with each utterance group. The device combines the first and second predicted intents to generate a final predicted intent, determines, for each incomprehensible utterance group, whether the final predicted intent overlaps with the final predicted intent for other utterance groups, and selects messages having no overlapping intent to create new intents. The device determines, for each comprehensible utterance group, whether the final predicted intent overlaps with a preassigned intent for other utterance groups and combines the messages that have an overlapping intent to create and label a new utterance group with the overlapping intent.

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Dalian, China

Ou Li