Amazon.com

About: Amazon.com is a company organization based out in Seattle, Washington, United States. It is known for research contribution in the topics: Computer science & Service (business). The organization has 13363 authors who have published 17317 publications receiving 266589 citations.

Be More with Less: Hypergraph Attention Networks for Inductive Text Classification.

Abstract: Text classification is a critical research topic with broad applications in natural language processing. Recently, graph neural networks (GNNs) have received increasing attention in the research community and demonstrated their promising results on this canonical task. Despite the success, their performance could be largely jeopardized in practice since they are: (1) unable to capture high-order interaction between words; (2) inefficient to handle large datasets and new documents. To address those issues, in this paper, we propose a principled model -- hypergraph attention networks (HyperGAT), which can obtain more expressive power with less computational consumption for text representation learning. Extensive experiments on various benchmark datasets demonstrate the efficacy of the proposed approach on the text classification task.

Using spatial information with device interaction

Abstract: The amount of resources needed for an electronic device to track and/or interact with a user is reduced by utilizing a predicted relative position of that user. In some embodiments, a full 360° scan is performed using at least one image capture element to locate a primary direction to a user of the device. Once this direction is determined, a smaller range (e.g., 45°) centered around that direction can be used to capture, analyze, or provide information for the user. As the user moves, the determined direction is updated and the range adjusted accordingly. If the user moves outside the range, the device can increase the size of the range until the user is located, and the range can again be decreased around the determined direction. Such approaches limit the amount of image or audio information that must be captured and/or analyzed to track the relative position of a user.

Speech-inclusive device interfaces

Abstract: A user can provide input to a computing device through various combinations of speech, movement, and/or gestures. A computing device can analyze captured audio data and analyze that data to determine any speech information in the audio data. The computing device can simultaneously capture image or video information which can be used to assist in analyzing the audio information. For example, image information is utilized by the device to determine when someone is speaking, and the movement of the person's lips can be analyzed to assist in determining the words that were spoken. Any gestures or other motions can assist in the determination as well. By combining various types of data to determine user input, the accuracy of a process such as speech recognition can be improved, and the need for lengthy application training processes can be avoided.

Synchronizing digital content

Abstract: Aspects of the present disclosure relate to one or more configured computing systems identifying when decoupled content includes companion content that can be synchronously presented. Once a content match is identified, a device to receive synchronization information can also be identified. The synchronization information can enable one or more devices to synchronously present companion content.

Client-allocatable bandwidth pools

Abstract: Methods and apparatus for client-allocatable bandwidth pools are disclosed. A system includes a plurality of resources of a provider network and a resource manager. In response to a determination to accept a bandwidth pool creation request from a client for a resource group, where the resource group comprises a plurality of resources allocated to the client, the resource manager stores an indication of a total network traffic rate limit of the resource group. In response to a bandwidth allocation request from the client to allocate a specified portion of the total network traffic rate limit to a particular resource of the resource group, the resource manager initiates one or more configuration changes to allow network transmissions within one or more network links of the provider network accessible from the particular resource at a rate up to the specified portion.