Logistics object distribution information acquisition method, device and system
An acquisition method and technology of an acquisition device are applied in the field of acquisition systems for logistics object distribution information, and can solve the problems of reducing the efficiency of express delivery, increasing the cost of communication time, and reducing the somatosensory sensation of the recipient.
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example 1
[0208] Such as Figure 4 As shown, in Example 1, the process of obtaining delivery information of logistics objects through telephone communication is as follows:
[0209] S1, the server initiates communication after receiving the one-click call request from the receiver's distributor terminal, and the server establishes voice communication with multiple receiver terminals through the robot;
[0210] S2, the user answers, after the opening remarks of the robot, the user responds, and the server can receive the voice information of the user of the receiving terminal;
[0211] S3, voice-to-text, the server converts voice information into text information;
[0212] S4, semantic recognition, identifying the semantics in the text information, and determining the intention in the voice information;
[0213] S5, semantic matching, matching the corresponding response text according to the semantics identified from the text information;
[0214] S6, intelligent answering, converting...
example 2
[0230] The following describes the acquisition of logistics object delivery information by the server in this application in combination with Table 3 and online scenarios:
[0231] table 3:
[0232]
[0233] As shown in Table 3 above,
[0234] User reply: refers to the voice information received by the server from the receiving terminal user during the communication process between the server and the user;
[0235] ASR recognition: refers to converting the user's voice information into text information and performing sentence segmentation processing;
[0236] Part-of-speech analysis refers to the part-of-speech analysis of each word / phrase of the text information, and word segmentation processing;
[0237] Part-of-speech filtering: refers to removing word segments that are not related to delivery information. For example, "sorry" in word segmentation is useless for delivery information analysis and can be removed;
[0238] Word frequency filtering: refers to the removal ...
example 3
[0246] The following describes the server's arbitration of multiple intents in this application in combination with online scenarios:
[0247] In Example 3, the user replies: "I'm not at home, my mother is at home, you can take it." Through the keyword-semantic information database matching shown in Table 1, the intention of these three sentences is "not at home". , "at home", "at home", through the level weight table, the weights of "at home" and "not at home" are both 10, then the sum of the weights of "at home" is 20, and the weight of "not at home" is 10, then the final intention After the arbitration, it is "at home", and the corresponding delivery information is "home delivery".
[0248] In this example, the intent arbitration can be performed according to the intent level weights of each core intent in the core intent classification related to delivery information to determine the target intent, which solves the problem of multiple intent parsing of long sentences in tr...
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