PyGaggle
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About
PyGaggle is a collection of advanced neural architectures specifically designed for text ranking and question answering tasks. It is tailored for tight integration with the Pyserini search library but is adaptable for other sources as well. This tool currently supports implementations such as rerankers for popular information retrieval collections like MS MARCO Passage Retrieval and Document Retrieval and TREC-COVID. PyGaggle requires Python 3.8+ for installation and can be set up via pip or Conda. It provides a variety of examples and experiments, demonstrating how to apply its rerankers on different datasets and models, including both MonoT5 and MonoBERT. The tool is open-source and follows the Apache-2.0 license, making it accessible for developers and researchers interested in enhancing retrieval systems with deep learning methods.
Platform
Task
Features
• open-source
• question answering
• integration with pyserini
• based on apache-2.0 license
• python compatibility (3.8+)
• jupyter notebook support
• text ranking
• deep neural architectures
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