Abstract: The present teaching relates to method, system, medium, and implementations for text processing. Upon receiving input data including an original token and a ground truth token label for the original token, a manipulation is applied to the original token to generate a manipulated token based on which to generate manipulated input data. Training data is generated based on the manipulated input data, the ground truth token label, and a ground truth action that, when applied to the manipulated token, yields the original token with the ground truth token label. A text moderation model is trained based on the training data.

Abstract: One or more computing devices, systems, and/or methods are provided. In an example, a first performance metric score may be determined based upon first content item text. A plurality of similarity scores associated with a plurality of sets of content item text may be determined. One or more sets of content item text may be selected from among the plurality of sets of content item text based upon the plurality of similarity scores and a plurality of performance metric scores associated with the plurality of sets of content item text. The plurality of performance metric scores may comprise one or more performance metric scores associated with the one or more sets of content item text. The one or more performance metric scores may be higher than the first performance metric score. One or more representations of the one or more sets of content item text may be displayed.

Abstract: The present teaching relates to method, system, medium, and implementations for text processing. Upon receiving input data including a plurality of text strings, a plurality of manipulated text strings are generated for each of the plurality of training text strings by first applying a manipulation to each of at least one original token in the text string to generate a manipulated token, where the original token has a ground truth token label and then determining, with respect to each manipulated token, a ground truth action which, when applied to the manipulated token, yields the original token with the ground truth token label.

Abstract: The disclosed systems and methods provide a novel framework that leverages collected logged-in daily active users (LIDAU) data to drive network traffic to network resources, as well as engage these users to continue or remain engaged with the resources through personalization and customization according to their behaviors and patterns. LIDAU data, which is based on a raw data feed of information from network resources and an identified dataset determined from the raw data feed, is used as a basis to increase LIDAU for a specific user or a set of other users. The determined understanding of LIDAU, and its impact on users as well as the network resources the users are interacting with, enables the framework to personalize the resources that are anticipated as being visited by the users in advance of the users visiting them.

Abstract: A method that incorporates teachings of the subject disclosure may include, for example transmitting, via a connection to a network having an available digital bandwidth, a first pre-fetch media content item of media content items included in the a media recommendation transmitted to a communication device, the first pre-fetch media content item having a first rank. Responsive to a determination of a change in the available digital bandwidth, the transmitting of the first pre-fetch media content item is stopped and a second pre-fetch media content item of media content items included in the media recommendation is transmitted via the connection to the network. The second pre-fetch media content item has a second rank. Other embodiments are disclosed.

Abstract: The present teaching relates to method, system, medium, and implementations for text processing. Upon receiving input data including a plurality of text strings, a plurality of manipulated text strings are generated for each of the plurality of training text strings by first applying a manipulation to each of at least one original token in the text string to generate a manipulated token, where the original token has a ground truth token label and then determining, with respect to each manipulated token, a ground truth action which, when applied to the manipulated token, yields the original token with the ground truth token label.

Abstract: A method that incorporates teachings of the subject disclosure may include, for example transmitting, via a connection to a network having an available digital bandwidth, a first pre-fetch media content item of media content items included in the a media recommendation transmitted to a communication device, the first pre-fetch media content item having a first rank. Responsive to a determination of a change in the available digital bandwidth, the transmitting of the first pre-fetch media content item is stopped and a second pre-fetch media content item of media content items included in the media recommendation is transmitted via the connection to the network. The second pre-fetch media content item has a second rank. Other embodiments are disclosed.

Abstract: The disclosure relates to methods, devices, systems, and computer storage medium for performing medical image segmentation. The method includes: The method includes: obtaining, by a device, a first medical image and a second medical image with a labeled region; performing, by the device, feature extraction on the first medical image and the second medical image respectively, to obtain first feature information of the first medical image and second feature information of the second medical image; obtaining, by the device, optical flow motion information from the second medical image to the first medical image according to the first feature information and the second feature information; and segmenting, by the device, the first medical image according to the optical flow motion information and the labeled region, to obtain a segmentation result of the first medical image.

Abstract: A method for determining a target image to be labeled includes: obtaining an original image and an autoencoder (AE) set, the original image being an image having not been labeled, the AE set including N AEs; obtaining an encoded image set corresponding to the original image by using the AE set, the encoded image set including N encoded images, the encoded images being corresponding to the AEs; obtaining the encoded image set and a segmentation result set corresponding to the original image by using an image segmentation network, the image segmentation network including M image segmentation sub-networks, and the segmentation result set including [(N+1)*M] segmentation results; determining labeling uncertainty corresponding to the original image according to the segmentation result set; and determining whether the original image is a target image according to the labeling uncertainty.

Abstract: The present disclosure provides methods, devices, apparatus, and storage medium for determining a target image region of a target object in a target image. The method includes: obtaining a target image comprising a target object; obtaining an original mask and an image segmentation model, the image segmentation model comprising a first unit model and a second unit model; downsampling the original mask based on a pooling layer in the first unit model to obtain a downsampled mask; extracting region convolution feature information of the target image based on a convolution pooling layer in the second unit model and the downsampled mask; updating the original mask according to the region convolution feature information; and in response to the updated original mask satisfying an error convergence condition, determining a target image region of the target object in the target image according to the updated original mask.

Abstract: The present teaching relates to generating user profiles with semantic knowledge. A first information associated with a user is obtained. One or more entities are identified from the first information. The one or more entities are augmented based on second information to generate a set of augmented entities. The set of augmented entities are clustered into a set of hierarchical clusters. A set of user profiles is generated based on the set of hierarchical clusters so that the user profile is to be used to personalize content recommendation.

Abstract: A computer device obtains a plurality of medical images. The device generates a texture image based on image data of a region of interest in the medical images. The device extracts a local feature from the texture image using a first network model. The device extracts a global feature from the medical images using a second network model. The device fuses the extracted local feature and the extracted global feature to form a fused feature. The device performs image classification based on the fused feature.

Abstract: An image segmentation method is provided for a computing device. The method includes obtaining a general tumor image, performing tumor localization on the tumor image to obtain a candidate image indicating a position of a tumor region in the general tumor image, inputting the candidate image to a cascaded segmentation network constructed based on a machine learning model, and performing image segmentation on the general tumor region in the candidate image using a first-level segmentation network and a second-level segmentation network in the cascaded segmentation network to obtain a segmented image.

Abstract: A method that incorporates teachings of the subject disclosure may include, for example transmitting, via a connection to a network having an available digital bandwidth, a first pre-fetch media content item of media content items included in the a media recommendation transmitted to a communication device, the first pre-fetch media content item having a first rank. Responsive to a determination of a change in the available digital bandwidth, the transmitting of the first pre-fetch media content item is stopped and a second pre-fetch media content item of media content items included in the media recommendation is transmitted via the connection to the network. The second pre-fetch media content item has a second rank. Other embodiments are disclosed.

Abstract: A method that incorporates teachings of the subject disclosure may include, for example transmitting, via a connection to a network having an available digital bandwidth, a first pre-fetch media content item of media content items included in the a media recommendation transmitted to a communication device, the first pre-fetch media content item having a first rank. Responsive to a determination of a change in the available digital bandwidth, the transmitting of the first pre-fetch media content item is stopped and a second pre-fetch media content item of media content items included in the media recommendation is transmitted via the connection to the network. The second pre-fetch media content item has a second rank. Other embodiments are disclosed.

Abstract: A method that incorporates teachings of the subject disclosure may include, for example transmitting, via a connection to a network having an available digital bandwidth, a first pre-fetch media content item of media content items included in the a media recommendation transmitted to a communication device, the first pre-fetch media content item having a first rank. Responsive to a determination of a change in the available digital bandwidth, the transmitting of the first pre-fetch media content item is stopped and a second pre-fetch media content item of media content items included in the media recommendation is transmitted via the connection to the network. The second pre-fetch media content item has a second rank. Other embodiments are disclosed.

Abstract: Communication accounts may contain information such as account holder names, contact lists, and communication logs. Such information may be processed for generating features that may be used as corpus for a machine learning algorithm for developing classifiers of names. Specifically, names and contact names of the accounts may be arranged in to a document according to the manner in which account holders communicate with the contacts. The document may be used for generating word embedding of the names. Names prelabeled with ethnicity together with their word embedding may be used as training data for developing ethnicity classifiers based on machine learning algorithms.

Abstract: A method that incorporates teachings of the subject disclosure may include, for example performing, by a wireless communication device comprising a processor, wireless telephony communications via a first wireless interface, transmitting information associated with media-related activities to a server, receiving from the server a media recommendation that is generated according to the information associated with media-related activities, initiating communications with a network via a second wireless interface, downloading a media content item of the media recommendation from a content provider via the second wireless interface, and presenting the media content item at a display. Other embodiments are disclosed.

Abstract: A method that incorporates teachings of the subject disclosure may include, for example performing, by a wireless communication device comprising a processor, wireless telephony communications via a first wireless interface, transmitting information associated with media-related activities to a server, receiving from the server a media recommendation that is generated according to the information associated with media-related activities, initiating communications with a network via a second wireless interface, downloading a media content item of the media recommendation from a content provider via the second wireless interface, and presenting the media content item at a display. Other embodiments are disclosed.

Abstract: A method that incorporates teachings of the subject disclosure may include, for example performing, by a wireless communication device comprising a processor, wireless telephony communications via a first wireless interface, transmitting information associated with media-related activities to a server, receiving from the server a media recommendation that is generated according to the information associated with media-related activities, initiating communications with a network via a second wireless interface, downloading a media content item of the media recommendation from a content provider via the second wireless interface, and presenting the media content item at a display. Other embodiments are disclosed.