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 |