2021
DOI: 10.1016/j.eswa.2020.114557
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High quality error-tolerant phrase mining on text corpus

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Cited by 3 publications
(1 citation statement)
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“…First, we used the pre-trained model CLIP (Radford et al 2021) as an image feature extractor to obtain image features. Second, we use ViT (Dosovitskiy et al 2021), high quality phrases (Wang et al 2021) and image library to build a knowledge base that contains a large number of fine-grained semantic labels, such as "Nordic style" and "soft decoration living room". Finally, we calculate similarity between image features and semantic labels in the knowledge base to get product labels.…”
Section: System Mechanismmentioning
confidence: 99%
“…First, we used the pre-trained model CLIP (Radford et al 2021) as an image feature extractor to obtain image features. Second, we use ViT (Dosovitskiy et al 2021), high quality phrases (Wang et al 2021) and image library to build a knowledge base that contains a large number of fine-grained semantic labels, such as "Nordic style" and "soft decoration living room". Finally, we calculate similarity between image features and semantic labels in the knowledge base to get product labels.…”
Section: System Mechanismmentioning
confidence: 99%