Capreolus
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About
Capreolus is a flexible toolkit for constructing ad hoc retrieval pipelines that can be executed through a Python or command line interface. It allows researchers to implement new module classes such as neural searchers or rerankers, enabling experimentation with various components of the retrieval pipelines while managing other variables, including ranking methods, cross-validation folds, tokenization, and neural training parameters. Key modules include Reranker and Searcher, and since version 0.2, pipelines can be designed to perform 'search-then-rerank' operations. The toolkit's configuration options support independent optimization for different metrics across modules, making it adaptable for various research needs.
Platform
Task
Features
• search-then-rerank capability
• module-based experimentation
• support for ad hoc retrieval
• interchangeable and configurable modules
• run via python or cli
• construct flexible pipelines
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