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公开(公告)号:US20230418567A1
公开(公告)日:2023-12-28
申请号:US17847115
申请日:2022-06-22
Applicant: Amazon Technologies, Inc.
Inventor: Praphruetpong Athiwaratkun , Yuchen Tian , Mingyue Shang , Zijian Wang , Ramesh M. Nallapati , Parminder Bhatia , Andrew Oliver Arnold , Bing Xiang , Sudipta Sengupta , Yanitsa Donchev , Srinivas Iragavarapu , Matthew Lee , Vamshidhar Krishnamurthy Dantu , Atul Deo , Ankur Deepak Desai
IPC: G06F8/33
CPC classification number: G06F8/33
Abstract: Pre-fix matching may constrain the generation of next token predictions. Input text to perform a next token prediction may be received. Multiple tokens may be determined from the input text, including a partial token. From possible tokens, one or more matching possible tokens with the partial token may be identified. Next token predictions may then be filtered using the identified possible tokens in order to ensure that the partial token is matched.
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公开(公告)号:US20210158813A1
公开(公告)日:2021-05-27
申请号:US16698478
申请日:2019-11-27
Applicant: Amazon Technologies, Inc.
Inventor: Swaminathan Sivasubramanian , Vasanth Philomin , Vikram Anbazhagan , Ashish Singh , Atul Deo , Anuroop Arora , Jessie Young , Colin Thomas Davidson , Harsh Yadav , Srikanth Prabala , Zeshan Peng
Abstract: Systems and methods which may be implemented in the context of a customer contact service. A service of a computing resource service provider may obtain, at a first service of a computing resource service provider, audio source data from a client of the computing resource service provider, generate an output from the audio data, wherein the output encodes: a transcript of the audio data generated by a second service, wherein the transcript is partitioned by speaker, metadata generated by a third service based at least in part on the transcript, and, one or more categories triggered by the transcript, wherein a fourth service is used to determine whether the one or more categories match the transcript, and providing the output to the client.
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公开(公告)号:US20210158234A1
公开(公告)日:2021-05-27
申请号:US16698457
申请日:2019-11-27
Applicant: Amazon Technologies, Inc.
Inventor: Swaminathan Sivasubramanian , Vasanth Philomin , Vikram Anbazhagan , Ashish Singh , Atul Deo , Anuroop Arora , Colin Thomas Davidson , Jessie Young , Yasser El-Haggan
Abstract: Systems and methods to implement customer contact service with real-time agent assistance. A service of a computing resource service provider may establish a connection between an agent to obtain audio data of the agent and a customer, transcribe the audio data to generate at least a portion of a transcript, execute one or more natural language processing techniques to generate metadata associated with the transcript, determine, based at least in part on the metadata, whether one or more categories match the transcript, generate information by processing the transcript, the metadata, and the one or more categories, and provide, to the agent, a notification that encodes the information. Notifications may be provided in real-time, which may include suitable delay tolerances.
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公开(公告)号:US11862148B2
公开(公告)日:2024-01-02
申请号:US16698449
申请日:2019-11-27
Applicant: Amazon Technologies, Inc.
Inventor: Swaminathan Sivasubramanian , Vasanth Philomin , Vikram Anbazhagan , Ashish Singh , Atul Deo , Anuroop Arora , Jessie Young , Harsh Yadav , Priyanka Shirish Kale
IPC: G10L15/00 , G10L15/26 , G10L15/18 , G06Q10/107 , G06Q30/016 , G10L15/30 , G06N5/04 , G10L15/22 , G10L15/32 , G06F16/61 , H04L9/32 , H04L9/06
CPC classification number: G10L15/1815 , G06F16/61 , G06N5/04 , G06Q10/107 , G06Q30/016 , G10L15/22 , G10L15/30 , G10L15/32 , H04L9/0643 , H04L9/3242
Abstract: Systems and methods to analyze contacts data. Contacts data may be encoded as text (e.g., chat logs), audio (e.g., audio recordings), and various other modalities. A computing resource service provider may implement a service to obtain audio data from a client, transcribe the audio data, thereby generating text, execute one or more natural language processing techniques to generate metadata associated with the text, processing at least the metadata to generate an output, determine whether the output matches one or more categories, and provide the output to the client. Techniques described herein may be performed as an asynchronous workflow.
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公开(公告)号:US20210158805A1
公开(公告)日:2021-05-27
申请号:US16698449
申请日:2019-11-27
Applicant: Amazon Technologies, Inc.
Inventor: Swaminathan Sivasubramanian , Vasanth Philomin , Vikram Anbazhagan , Ashish Singh , Atul Deo , Anuroop Arora , Jessie Young , Harsh Yadav , Priyanka Shirish Kale
Abstract: Systems and methods to analyze contacts data. Contacts data may be encoded as text (e.g., chat logs), audio (e.g., audio recordings), and various other modalities. A computing resource service provider may implement a service to obtain audio data from a client, transcribe the audio data, thereby generating text, execute one or more natural language processing techniques to generate metadata associated with the text, processing at least the metadata to generate an output, determine whether the output matches one or more categories, and provide the output to the client. Techniques described herein may be performed as an asynchronous workflow.
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公开(公告)号:US12062368B1
公开(公告)日:2024-08-13
申请号:US17039613
申请日:2020-09-30
Applicant: Amazon Technologies, Inc.
Inventor: Anuroop Arora , Atul Deo , Ramesh M. Nallapati , Henghui Zhu , Arvind Arikatla , Sai Bharadwaj Kanduri , Srikanth Prabala , Dejiao Zhang
CPC classification number: G10L15/1822 , G06N20/00 , G10L15/063 , G10L15/26 , G06Q30/01 , G10L2015/0631 , G10L2015/088
Abstract: Systems and methods to detect themes in contacts data. Contacts data may be encoded as text (e.g., chat logs), audio (e.g., audio recordings), and various other modalities. Text-based transcripts of contacts data may be parsed into turns, an issue turn may be detected using a machine learning model, a key phrase may be extracted from the issue turn. Key phrases from across multiple contacts data may be clustered to identify themes.
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公开(公告)号:US11893526B2
公开(公告)日:2024-02-06
申请号:US16698470
申请日:2019-11-27
Applicant: Amazon Technologies, Inc.
Inventor: Swaminathan Sivasubramanian , Vasanth Philomin , Vikram Anbazhagan , Ashish Singh , Atul Deo , Anuroop Arora , Colin Thomas Davidson , Jessie Young , Yasser El-Haggan
IPC: G10L15/00 , G10L15/26 , G06Q10/0633 , G06F16/683 , H04M3/51 , G10L15/18 , G06F40/16 , G10L15/08
CPC classification number: G06Q10/0633 , G06F16/685 , G06F40/16 , G10L15/1815 , G10L15/26 , H04M3/5191 , G10L2015/088 , H04M2203/357
Abstract: Systems and methods to implement customer contact service with real-time supervisor assistance. A supervisor may oversee multiple agents in a customer contact service. A service of a computing resource service provider may monitor a plurality of audio connections at a service of a computing resource service provider, generate transcripts for the plurality of audio data, analyze the transcripts using a set of natural language processing (NLP) techniques to generate metadata, tag the transcripts with categories based at least in prat on the metadata, generate information for at least a portion of the plurality of connections based on the transcripts, metadata, and categories, and provide the information to a supervisor of the agents.
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公开(公告)号:US20230419036A1
公开(公告)日:2023-12-28
申请号:US17847118
申请日:2022-06-22
Applicant: Amazon Technologies, Inc.
Inventor: Zijian Wang , Yuchen Tian , Mingyue Shang , Praphruetpong Athiwaratkun , Ming Tan , Parminder Bhatia , Andrew Oliver Arnold , Ramesh M Nallapati , Sudipta Sengupta , Bing Xiang , Atul Deo , Ankur Deepak Desai
IPC: G06F40/284 , G06N20/00 , G06F8/41 , G06F8/30
CPC classification number: G06F40/284 , G06N20/00 , G06F8/427 , G06F8/30
Abstract: Random token segmentation may be implemented for next token prediction. Text data may be received for training a machine learning model to predict a next token given input text tokens. Multiple tokens may be determined from the text data. Different ones of the multiple token may be randomly segmented in to sub-tokens. The machine learning model may then be trained using the multiple tokens including the respective sub-tokens as a training data set.
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公开(公告)号:US12141553B2
公开(公告)日:2024-11-12
申请号:US17847113
申请日:2022-06-22
Applicant: Amazon Technologies, Inc.
Inventor: Praphruetpong Athiwaratkun , Zixuan Lin , Ramana Keerthi , Zijian Wang , Yuchen Tian , Hantian Ding , Sri Ranga Akhilesh Bontala , Matthew Lee , Yanitsa Donchev , Ramesh M Nallapati , Parminder Bhatia , Andrew Oliver Arnold , Bing Xiang , Sudipta Sengupta , Rama Krishna Sandeep Pokkunuri , Srinivas Iragavarapu , Atul Deo , Ankur Deepak Desai
Abstract: Evaluation data sets may be programmatically generated for code generation models. An evaluation data set is obtained that includes items that correspond to different evaluation tests for a code generation system. The individual items of the evaluation data set maybe converted, including the conversion of a function signature for the items, the test statements for the items and using a code generation system to generate the body of the function.
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公开(公告)号:US12014155B2
公开(公告)日:2024-06-18
申请号:US17847115
申请日:2022-06-22
Applicant: Amazon Technologies, Inc.
Inventor: Praphruetpong Athiwaratkun , Yuchen Tian , Mingyue Shang , Zijian Wang , Ramesh M Nallapati , Parminder Bhatia , Andrew Oliver Arnold , Bing Xiang , Sudipta Sengupta , Yanitsa Donchev , Srinivas Iragavarapu , Matthew Lee , Vamshidhar Krishnamurthy Dantu , Atul Deo , Ankur Deepak Desai
IPC: G06F8/33
CPC classification number: G06F8/33
Abstract: Pre-fix matching may constrain the generation of next token predictions. Input text to perform a next token prediction may be received. Multiple tokens may be determined from the input text, including a partial token. From possible tokens, one or more matching possible tokens with the partial token may be identified. Next token predictions may then be filtered using the identified possible tokens in order to ensure that the partial token is matched.
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