Abstract: Disclosed are a Nested Named Entity Recognition method based on part-of-speech awareness, system, device and storage medium therefor. The method uses a BiLSTM model to extract a feature of text word data in order to obtain a text word depth feature, and each text word of text to be recognized is initialized into a corresponding graph node, and a text heterogeneous graph of the text to be recognized is constructed according to a preset part-of-speech path, the text word data of the graph nodes is updated by an attention mechanism, and the features of all graph nodes of the text heterogeneous graph are extracted using the BiLSTM model, and a nested named entity recognition result is obtained after decoding and annotating. The present disclosure can recognize ordinary entities and nested entities accurately and effectively, and enhance the performance and advantages of the nested named entity recognition model.

Abstract: A method and an apparatus for interacting with an image, a medium and an electronic device are provided. The method includes: acquiring a first image of a target object; acquiring a preset effect image and a preset processing parameter corresponding to the preset effect image; and synthesizing the first image into the preset effect image based on the preset processing parameter, to generate a synthesized image. Through the interaction between a user and an effect image, the advertisement is changed from a monotonous and boring thing into a fun thing, or even a gamified thing, so that the user has a stronger sense of participation and is even willing to participate, thereby improving the effect of the advertisement. By linking with the social account, the advertising scene is expanded, and followers are attracted to the social account of the advertiser, thereby enhancing the added value of advertising.