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- W3197322452 abstract "eXSTS comprises two parts, the back-end data analysis system and the front-end user interface (UI). The back-end system consists of a Siamese Neural Network (SNN) and BERTtextsubscript{base} pre-trained model. eXSTS receives two documents, and the back-end system splits two documents into sentences, defines pairs of sentences across the two documents, and calculates the STS score of each sentence pair by comparing the sentence embeddings of the two sentences. We normalize all the STS scores and calculate the document STS score of these two documents. The front-end UI visualizes the STS information of sentence pairs through proposed visualizations to explain the sentence pairs that significantly affect the document STS score of two documents and the global distribution of the STS scores of all the sentences pairs across two documents." @default.
- W3197322452 created "2021-09-13" @default.
- W3197322452 creator A5005316727 @default.
- W3197322452 date "2021-08-30" @default.
- W3197322452 modified "2023-09-23" @default.
- W3197322452 title "eXSTS: eXplainable Semantic Textual Similarity" @default.
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