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Text semantic similarity calculation method and device and user terminal

A technology of semantic similarity and calculation method, which is applied in the field of device and user terminal, text semantic similarity calculation method, can solve the problem of single similarity information and low accuracy, and achieve the effect of rich information and high accuracy

Active Publication Date: 2018-09-07
ALIBABA (CHINA) CO LTD
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Problems solved by technology

[0003] Most of the existing text semantic similarity matching focuses on the calculation of the single

Method used

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  • Text semantic similarity calculation method and device and user terminal
  • Text semantic similarity calculation method and device and user terminal
  • Text semantic similarity calculation method and device and user terminal

Examples

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no. 1 example

[0032] Such as figure 2 It shows a flowchart of a method for calculating text semantic similarity provided by an embodiment of the present invention. See figure 2 , The method includes:

[0033] Step S110: Establish a first word vector matrix corresponding to the first text and a second word vector matrix corresponding to the second text. The first word vector matrix is ​​composed of the first word vector, and the second word vector matrix is ​​composed of the second word vector matrix. Word vector composition.

[0034] For the two texts that need to calculate the semantic similarity, they are the first text and the second text. First, establish a first word vector matrix corresponding to the first text according to the word vector of the first text, and establish a word vector matrix corresponding to the second text according to the word vector of the second text.

[0035] Further, such as image 3 As shown, this step S110 may include:

[0036] Step S111: Perform word segmentatio...

no. 2 example

[0080] This embodiment provides a text semantic similarity calculation device 200, please refer to Image 6 , The device 200 includes: a word vector matrix establishment module 210, configured to establish a first word vector matrix corresponding to the first text and a second word vector matrix corresponding to the second text, the first word vector matrix being composed of the first word vector The second word vector matrix is ​​composed of a second word vector; the similarity matrix establishment module 220 is used to establish the first text and the second word vector matrix according to the first word vector matrix, the second word vector matrix and a predetermined number of modalities. A multi-modal similarity matrix between the second texts, the multi-modal similarity matrix includes similarity measurement parameters; an optimization module 230, configured to iteratively optimize the multi-modal similarity matrix using an artificial neural network algorithm The similarity...

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Abstract

The invention provides a text semantic similarity calculation method and device and a user terminal and relates to the field of computers. The method comprises the steps that a first word vector matrix corresponding to a first text and a second word vector matrix corresponding to a second text are established; according to the first word vector matrix, the second word vector matrix and a predetermined modal number, a multi-modal similarity matrix of the first text and the second text is established; an artificial neural network algorithm is utilized to iteratively optimize similarity measurement parameters in the multi-modal similarity matrix, first word vectors, second word vectors and introduced artificial neural network parameters; and when a predetermined iteration ending condition ismet, an iteration output result is used as the semantic similarity between the first text and the second text. The multi-modal similarity matrix calculated through the method can be used for realizingtext semantic matching under a one-word-multiple-meaning condition.

Description

Technical field [0001] The present invention relates to the field of computer technology, and in particular to a method, device and user terminal for calculating text semantic similarity. Background technique [0002] With the rapid development of Internet technology, language processing tasks such as information retrieval, automatic question answering, and machine translation are increasingly being used. These language processing tasks can usually be abstracted as the problem of text semantic similarity matching. [0003] Most of the existing text semantic similarity matching focuses on the calculation of the single semantic similarity of the text pair. The similarity information is single and the accuracy is not high. Summary of the invention [0004] In view of this, the embodiments of the present invention provide a method and device for calculating text semantic similarity, which builds a multimodal similarity matrix according to multiple semantics of words to measure the simi...

Claims

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Application Information

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IPC IPC(8): G06F17/27G06F17/30
CPCG06F40/30
Inventor 孟令勋王嘉勋
Owner ALIBABA (CHINA) CO LTD
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