发明名称 Identifying tasks and commitments using natural language processing and machine learning
摘要 An example of identifying tasks and commitments can include receiving a communication message. A task and a parameter can be identified in the communication message. Information related to the task can be extracted from the communication message using natural language processing (NLP) and machine learning (ML). A commitment related to the task can be identified using NLP extracted information. A state of the commitment can be identified using NLP and ML based on the extracted information.
申请公布号 US9170993(B2) 申请公布日期 2015.10.27
申请号 US201313753022 申请日期 2013.01.29
申请人 Hewlett-Packard Development Company, L.P. 发明人 Kalia Anup Kumar;Motahari Nezhad Hamid Reza;Bartolini Claudio
分类号 G06F17/27;G06F17/20;G06F17/21;G06F17/28 主分类号 G06F17/27
代理机构 Brooks, Cameron & Huebsch, PLLC 代理人 Brooks, Cameron & Huebsch, PLLC
主权项 1. A computer-implemented method for identifying tasks and commitments, comprising: receiving, via communication links, a communication message; identifying a task and a parameter of the task in the communication message; extracting information related to the task from the communication message using natural language processing (NLP) and machine learning (ML); identifying a commitment using NLP extracted information and a state of the commitment using NLP and ML based on the extracted information; receiving an additional communication message associated with the identified task; and updating the state of the commitment based on information extracted from the received additional communication message.
地址 Houston TX US