Internet of vehicles text matching method and device, electronic equipment and storage medium

Abstract

The invention provides an Internet of Vehicles text matching method and device, electronic equipment and a storage medium, which are used for solving the problem that a better text matching effect is difficult to obtain from the aspect of semantic representation. The method comprises the following steps: acquiring a to-be-matched text, and extracting abstract contents of the to-be-matched text and dependency syntax core components of the to-be-matched text; conducting word segmentation and vectorization on the abstract content, the dependency syntax core component and the to-be-matched text, and obtaining an embedded vector matrix, wherein the embedded vector matrix comprises a sentence component vector, a token embedded vector, a position embedded vector and / or an inverted position embedded vector; performing fusion processing on the sentence component vector, the token embedding vector, the position embedding vector and / or the inverted position embedding vector to obtain an input representation vector; and performing matching sorting on the plurality of retrieval texts by using a text matching model according to the input representation vector to obtain a plurality of sorted retrieval texts.

Description

technical field [0001] The present application relates to the technical fields of Internet of Vehicles and natural language processing, and in particular, relates to a text matching method, device, electronic equipment and storage medium for Internet of Vehicles. Background technique [0002] Internet of Vehicles (IoV) refers to the effective use of all vehicle dynamic information in the information network platform by the on-board equipment on the vehicle through wireless communication technology, and provides different functional services during vehicle operation. IoV can communicate between the car and other vehicles or equipment that may affect the car. The Internet of Vehicles is also referred to as V2X (Vehicle to everything), which means that the on-board equipment on the vehicle can exchange information through different types of communication methods. Different types of communication methods at the site include: Vehicle to Infrastructure (Vehicle to Infrastructure, ...

AI Technical Summary

Problems solved by technology

That is to say, using machine learning-based methods uses similarity factors at the lexical level to sort search results, and it is difficult to achieve better text matching results in terms of semantic representation

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