Meta Platforms, Inc.

Pwc Product Sales LLC

Prakash Chandra

Amit Agarwal

Xin Su

Aayush Bhutani

Santosh Gupta

Ajay Nandanwar

Sanjay Verma

Devendra Vidhani

The present disclosure relates generally to natural language understanding. An exemplary computer-enabled method comprises: receiving first utterance data corresponding to a first plurality of intents; identifying a first plurality of intent clusters using an unsupervised machine-learning algorithm, wherein each intent cluster of the first plurality of intent clusters comprises a respective subset of the first plurality of intents; training, based on the first utterance data, an intent cluster classification model, wherein the intent cluster classification model is configured to receive a user utterance and identify an intent cluster of the first plurality of intent clusters; and training, based on the first utterance data, an intent classification model for each intent cluster of the first plurality of intent clusters to obtain a plurality of intent classification models, wherein each intent classification model is configured to receive the user utterance and identify an intent from the respective intent cluster.

Unsupervised clustering of intents for natural language understanding

Systems, methods, and non-transitory computer-readable media can be configured to determine a request for a video from a client device, wherein the video is associated with a plurality of reframed versions of the video. A reframed version of the video to provide in response to the request can be determined based at least in part on a consumption surface associated with the client device. The reframed version of the video can be provided to the client device for display.

Systems and methods for generating and distributing content for consumption surfaces

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Fremont, CA, United States of America

Prakash Chandra