Abstract: Disclosed is a technical solution to reduce latency in reader-retriever architectures of an open domain query response system. An example apparatus is to reduce latency in a retriever-reader architecture comprising at least one memory, machine readable instructions, and processor circuitry to at least one of instantiate or execute the machine readable instructions to identify a query, the query having data associated with the query, create a data array based on the data associated with the query, and deploy a machine learning model. The machine learning model is to assign a score to an index of the data array based on a likelihood that a response to the query exists in the index, determine an action to perform on the index based on a comparison of the score and a ranking threshold, and produce the response from the data array based on the action.

Abstract: Systems and methods for text normalization in a plurality of noisy channels receive a text entry and channel origin data of the text entry; determine whether the text entry matches an in-vocabulary (IV) entry or whether the text entry is an out-of-vocabulary (OOV) entry; if the text entry is determined to have a matching IV entry, output the matching IV entry, and if the text entry is determined to be an OOV entry, implement a channel-specific error-type adapter framework based on the channel origin data, wherein the channel-specific error-type adapter framework is optimized for a specific channel from which the text entry originated; normalize the text entry using the channel-specific error-type adapter framework; and output one or more candidate normalized forms of the text entry.

Abstract: A method for determining prominent keyphrases in interactions, comprising, receiving keyphrases of numerous interactions received via a plurality of channels that comprise apparatuses for conveying the interactions according to the media thereof, quantitatively evaluating each keyphrase by a plurality of different metrics thereby yielding a corresponding plurality of values, and linearly combining the plurality of the values with a corresponding plurality of coefficients associated with a channel via which an interaction having said keyphrase is received, thereby providing a score of said keyphrase, and based on a condition related to the scores of the keyphrases, selecting at least one keyphrase as an at least one prominent keyphrase, wherein the method is at least partially performed by an at least one computerized apparatus configured for interfacing with the apparatuses of the plurality of the channels.

Abstract: A checkpoint trigger initiating a synchronization of a first virtual machine with a second virtual machine may be received, the first virtual machine being executed with at least a first virtual processor and a second virtual processor. The first virtual processor may be paused, while the first virtual machine is allowed to continue executing, using the second virtual processor. The synchronization may be executed, including transferring memory pages of the first virtual machine for storage by the second virtual machine, and the first virtual processor may be released and execution of the first virtual machine may be resumed, using the first virtual processor and the second virtual processor.

Abstract: Systems and methods for text normalization in a plurality of noisy channels receive a text entry and channel origin data of the text entry; determine whether the text entry matches an in-vocabulary (IV) entry or whether the text entry is an out-of-vocabulary (OOV) entry; if the text entry is determined to have a matching IV entry, output the matching IV entry, and if the text entry is determined to be an OOV entry, implement a channel-specific error-type adapter framework based on the channel origin data, wherein the channel-specific error-type adapter framework is optimized for a specific channel from which the text entry originated; normalize the text entry using the channel-specific error-type adapter framework; and output one or more candidate normalized forms of the text entry.

Abstract: A method for determining prominent keyphrases in interactions, comprising, receiving keyphrases of numerous interactions received via a plurality of channels that comprise apparatuses for conveying the interactions according to the media thereof, quantitatively evaluating each keyphrase by a plurality of different metrics thereby yielding a corresponding plurality of values, and linearly combining the plurality of the values with a corresponding plurality of coefficients associated with a channel via which an interaction having said keyphrase is received, thereby providing a score of said keyphrase, and based on a condition related to the scores of the keyphrases, selecting at least one keyphrase as an at least one prominent keyphrase, wherein the method is at least partially performed by an at least one computerized apparatus configured for interfacing with the apparatuses of the plurality of the channels.

Abstract: A checkpoint trigger initiating a synchronization of a first virtual machine with a second virtual machine may be received, the first virtual machine being executed with at least a first virtual processor and a second virtual processor. The first virtual processor may be paused, while the first virtual machine is allowed to continue executing, using the second virtual processor. The synchronization may be executed, including transferring memory pages of the first virtual machine for storage by the second virtual machine, and the first virtual processor may be released and execution of the first virtual machine may be resumed, using the first virtual processor and the second virtual processor.

Abstract: A method for retrieving stored information from a storage node includes operating a computing device to generate a memory access request comprising a virtual memory address that identifies a first storage node and at least a second storage node based on the virtual memory address. The method further includes operating the computing device to transmit a retrieve request to both the first storage node and the second storage node to retrieve stored information. The first and the second storage nodes are each enabled to store a copy of the stored information, and are included in a plurality of storage nodes that constitute an extended memory. If a first response from the first storage node is received before a second response is received from the second storage node, then the method further includes operating the computing devices to receive the stored information from the first storage node.