Shypd.aiThe largest open index of AI toolsdeep-siamese-text-similarity is a Coding & Development tool that implements a deep Siamese LSTM network for text similarity. It captures phrase and sentence similarity using character and word embeddings.
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deep-siamese-text-similarity is a TensorFlow-based implementation of a deep Siamese LSTM network designed to capture phrase and sentence similarity. It offers architecture for learning two kinds of tasks: phrase similarity using character-level embeddings and sentence similarity using word-level embeddings. The model utilizes a multilayer Siamese LSTM network and Euclidean distance-based contrastive loss to learn input pair similarity. It can identify semantic and structural similarities, including annotations, abbreviations, extra words, similar semantics, typos, compositions, and summaries. This project is intended for experimental purposes, providing a robust framework for text similarity research and application development.
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