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Rough semantic-based reply statement determination method and apparatus, and electronic device

A reply sentence, rough technology, applied in digital data processing, natural language data processing, instruments, etc., can solve problems such as discarding rough information and inaccurate reply sentences, achieving high accuracy and improving user experience.

Pending Publication Date: 2022-04-29
PING AN TECH (SHENZHEN) CO LTD
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, in the traditional scheme, in order to enable the model to construct reply sentences for the key information in the dialogue, these features often focus on the key information in the previous round of dialogue, and then in the actual extraction process, these key information are extracted. Extracted as features, and some rough information in the dialogue is often discarded
Thus ignoring that in some texts, some rough information can better reflect the real focus of the dialogue, resulting in inaccurate reply sentences

Method used

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  • Rough semantic-based reply statement determination method and apparatus, and electronic device
  • Rough semantic-based reply statement determination method and apparatus, and electronic device
  • Rough semantic-based reply statement determination method and apparatus, and electronic device

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Embodiment Construction

[0031] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0032] The terms "first", "second", "third" and "fourth" in the description and claims of the present application and the drawings are used to distinguish different objects, rather than to describe a specific order . Furthermore, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not ...

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PUM

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Abstract

The invention discloses a reply statement determination method and device based on rough semantem.The method comprises the steps that according to the occurrence time of voice information of a user at the current moment, the previous round of voice information adjacent to the voice information is obtained; performing rough semantic extraction on the voice information according to the previous round of voice information to obtain rough semantic features corresponding to the voice information; performing word segmentation processing on the voice information to obtain a keyword group; performing multiple hidden feature extraction processing on the keyword group to obtain an initial hidden layer state feature vector; according to the rough semantic feature and the initial hidden layer state feature vector, performing multiple reply word generation processing to obtain at least one reply word; and splicing the at least one reply word according to the generation sequence of each reply word in the at least one reply word to obtain a reply statement of the voice information.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a method, device and electronic device for determining a reply sentence based on rough semantics. Background technique [0002] At present, in the traditional dialogue model, the text of the previous round of dialogue is usually encoded, and the hidden layer state feature of the obtained encoded information is used as one of the inputs of the decoder, and then the dialogue reply is automatically generated by the decoder according to the time series. In this method, the state feature of the hidden layer encoded by the text of the previous round of dialogue is used as one of the basis for the generation of the reply sentence in the current round of dialogue, so that the reply sentence generation process includes the information features of the previous round of dialogue. [0003] However, in the traditional scheme, in order to enable the model to construct reply sen...

Claims

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Application Information

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IPC IPC(8): G06F40/35G06F40/289G06F40/284G06F40/268
CPCG06F40/35G06F40/284G06F40/268G06F40/289
Inventor 舒畅陈又新
Owner PING AN TECH (SHENZHEN) CO LTD
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