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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
Web
Keywords
researchpythonpipelineretrievalneural
Task
data retrieval
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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