alibaba-edu/simple-effective-text-matching
Source code 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 questions are rephrased versions of each other, or if a document contains the answer to a question. It takes in pairs of text as input and outputs a classification of their relationship. This is for researchers or practitioners who need to quickly and accurately analyze the semantic relationship between text pairs for various applications.
340 stars. No commits in the last 6 months.
Use this if you need a fast and accurate way to classify relationships between text pairs for tasks like natural language inference, paraphrase detection, or answer selection.
Not ideal if your primary goal is to generate new text, summarize documents, or perform single-text analysis rather than comparing two texts.
Stars
340
Forks
66
Language
Python
License
Apache-2.0
Category
Last pushed
Oct 11, 2019
Commits (30d)
0
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