Accagain2014/TextMatching
Methods about Deep Learning for Text Matching
This project helps researchers and practitioners understand and implement methods for determining how similar two pieces of text are. It takes in text inputs and outputs a measure of their relatedness, using either keyword-based or semantic deep learning approaches. It's designed for natural language processing researchers, information retrieval specialists, and data scientists working on text similarity tasks.
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Use this if you need to compare two pieces of text to see how semantically alike they are, leveraging established models in text matching.
Not ideal if you are looking for a ready-to-use, high-level API for immediate deployment without needing to understand or implement the underlying models.
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Language
Python
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Last pushed
Mar 27, 2019
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