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公开(公告)号：US20220300517A1
公开(公告)日：2022-09-22
申请号：US17204373
申请日：2021-03-17
IPC分类号： G06F16/2457 , G06F16/242 , G06F16/248 , G06F16/22
摘要： From a set of natural language text documents, a concept tree is constructed. For a node in the concept tree a polarity of the subset represented by the node is scored. A second set of natural language text documents is added to the subset, the adding resulting in a modified subset of natural language text documents having a polarity score within a predefined neutral polarity score range. From the modified subset, a bin of sentences is selected according to a sentence selection parameter, a sentence in the bin of sentences being extracted from a selected document in the modified subset. A sentence having a factuality score below a threshold factuality score is removed from the bin of sentences. From the filtered bin of sentences a new natural language text document corresponding to the filtered bin of sentences is generated using a transformer deep learning narration generation model.
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公开(公告)号：US11379725B2
公开(公告)日：2022-07-05
申请号：US16023823
申请日：2018-06-29
摘要： Using a simple cue to reduce a number of sequential frames included in a video that needs to be analyzed by an artificial neural network to predict information corresponding to a projectile depicted within the video is provided. A timing of the simple cue associated with the video is detected. The number of sequential frames within the video is reduced down to only those frames that are within a specified range of the simple cue. The artificial neural network is used to analyze the reduced number of sequential frames. The information corresponding to the projectile is predicted based on analyzing the reduced number of sequential frames using the artificial neural network.
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公开(公告)号：US11270686B2
公开(公告)日：2022-03-08
申请号：US15471436
申请日：2017-03-28
摘要： A model-pair is selected to recognize spoken words in a speech signal generated from a speech, which includes an acoustic model and a language model. A degree of disjointedness between the acoustic model and the language model is computed relative to the speech by comparing a first recognition output produced from the acoustic model and a second recognition output produced from the language model. When the acoustic model incorrectly recognizes a portion of the speech signal as a first word and the language model correctly recognizes the portion of the speech signal as a second word, a textual representation of the second word is determined and associated with a set of sound descriptors to generate a training speech pattern. Using the training speech pattern, the acoustic model is trained to recognize the portion of the speech signal as the second word.
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公开(公告)号：US20220027550A1
公开(公告)日：2022-01-27
申请号：US16940306
申请日：2020-07-27
发明人： Aaron K. Baughman , Stephen C. Hammer , Corey B. Shelton , Nicholas Michael Wilkin , Sara Perelman
IPC分类号： G06F40/103 , G06T11/60
摘要： A relevant factoid(s) related to multimedia data is generated by splitting a multimedia item into a media component and a text component. Text information is retrieved relevant to text data from the text component using a query. The text information is summarized into a factoid. Source data is checked for an image based on the multimedia component. A current state image is generated from the image. The factoid and the current state image are combined into a combined factoid, and the combined factoid is stored for sending to a media outlet for presentation on a media format.
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公开(公告)号：US11093841B2
公开(公告)日：2021-08-17
申请号：US15471684
申请日：2017-03-28
IPC分类号： G06N5/04 , G06F16/332 , G06F16/36
摘要： A hierarchy of agents is constructed from a set of agents. Each agent in the hierarchy is trained to answer a question according to a corresponding corpus associated with the agent, which contains a portion of knowledge about a subject-matter. The question is submitted to a first subset of agents, the agents in the first subset occupying a first level in the hierarchy. From a first agent in the first subset, a first answer is propagated to a second agent in a second subset of agents, the first agent computing the first answer using a first portion of knowledge about the subject-matter. to form a first morphed answer, a second answer is added to the first answer, the second answer being computed by the second agent using a second portion of knowledge about the subject-matter. The morphed answer is produced in response to the question.
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公开(公告)号：US10832734B2
公开(公告)日：2020-11-10
申请号：US16283912
申请日：2019-02-25
IPC分类号： G11B27/036 , G06N3/08 , G06K9/42 , G06K9/00 , H04N21/25 , H04N21/234 , H04N21/8549 , H04N21/845 , G06K9/62
摘要： Techniques for padding audiovisual clips (for example, audiovisual clips of sporting events) for the purpose of causing the clip to have a predetermined duration so that the padded clip can be evaluated for viewer interest by a machine learning (ML) algorithm. The unpadded clip is padded with audiovisual segment(s) that will cause the padded clip to have a level of viewer interest that it would have if the unpadded clip had been longer. In some embodiments the padded segments are synthetic images generated by a generative adversarial network such that the synthetic images would have the same level of viewer interest (as adjudged by an ML algorithm) as if the unpadded clip had been shot to be longer.
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公开(公告)号：US20200174570A1
公开(公告)日：2020-06-04
申请号：US16209179
申请日：2018-12-04
摘要： In an embodiment, a method includes detecting a motion pattern in proximity to a first midair interface (MAI) device, the motion pattern being of a body part of a user. In an embodiment, the method includes converting the detected motion pattern to a simulated surface of an object projected from a shared MAI device, wherein the first MAI device and the shared MAI device each correspond to a different user. In an embodiment, the method includes causing a behavior change in the simulated surface being projected from the shared MAI device. An embodiment includes a computer usable program product. The computer usable program product includes a computer-readable storage device, and program instructions stored on the storage device.
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公开(公告)号：US10559311B2
公开(公告)日：2020-02-11
申请号：US15476340
申请日：2017-03-31
摘要： Methods, computer program products, and systems are presented. The methods include, for instance: obtaining the media file with a speech and identifying speakers on clusters separated by disfluencies and change of speakers. Clusters are re-segmented rearranged during diarization. Speaker identifications for the clusters in the media file is produced.
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公开(公告)号：US20190279094A1
公开(公告)日：2019-09-12
申请号：US15914222
申请日：2018-03-07
摘要： Simulating uncertainty in an artificial neural network is provided. Aleatoric uncertainty is simulated to measure what the artificial neural network does not understand from sensor data received from an object operating in a real-world environment by adding random values to edge weights between nodes in the artificial neural network during backpropagation of output data of the artificial neural network and measuring impact on the output data by the added random values to the edge weights between the nodes. Epistemic uncertainty is simulated to measure what the artificial neural network does not know by dropping out a selected node from each respective layer of the artificial neural network during forward propagation of the sensor data and measuring impact of dropped out nodes on the output data of the artificial neural network. An action corresponding to the object is performed based on the impact of simulating the aleatoric and epistemic uncertainty.
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公开(公告)号：US20190250307A1
公开(公告)日：2019-08-15
申请号：US15894858
申请日：2018-02-12
IPC分类号： G01W1/10
CPC分类号： G01W1/10 , G01W2001/006
摘要： A method, system and computer program product for the contextualized weather summarization for a target event includes the receipt in memory of a computer of a weather report corresponding to a geographical locale corresponding to a particular event and venue for the event and the processing of the received weather report to generate a multiplicity of different contextual summarizations utilizing a pre-established weather grammar. Then, a processor of the computer analyzes each one of the different contextual summarizations to measure a tone ranging from negative to positive. Finally, the processor transmits a most positive measured one of the contextual summarizations over the computer communications network to end users seeking a weather forecast for the geographical locale corresponding to the particular event and venue for the event.
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