alibaba-edu/simple-effective-text-matching-pytorch
A pytorch implementation of the ACL2019 paper "Simple and Effective Text Matching with Richer Alignment Features".
This project helps you classify the relationship between two pieces of text, such as determining if one sentence implies another, if two phrases mean the same thing, or if a specific answer matches a question. It takes two text sequences as input and outputs a classification of their relationship. This is useful for natural language processing researchers and practitioners working on text understanding tasks.
305 stars. No commits in the last 6 months.
Use this if you need to quickly and accurately determine the relationship between pairs of text, such as for natural language inference, paraphrase detection, or question-answering.
Not ideal if you are looking for a tool that performs tasks other than comparing two text sequences, or if you require multi-GPU training support.
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305
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54
Language
Python
License
Apache-2.0
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Last pushed
Aug 24, 2022
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