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neural information retrieval and ranking & extractive question answering
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sueszli/noodle-retrieval
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_ _ _ _ ____ _ _ _ | \ | | ___ ___ __| | | ___ | _ \ ___| |_ _ __(_) _____ ____ _| | | \| |/ _ \ / _ \ / _` | |/ _ \ | |_) / _ \ __| '__| |/ _ \ \ / / _` | | | |\ | (_) | (_) | (_| | | __/ | _ < __/ |_| | | | __/\ V / (_| | | |_| \_|\___/ \___/ \__,_|_|\___| |_| \_\___|\__|_| |_|\___| \_/ \__,_|_| neural reranking & extractive question answering with: - k-nrm - end-to-end neural ad-hoc ranking with kernel pooling - by xiong et al., 2017: https://www.cs.cmu.edu/~zhuyund/papers/end-end-neural.pdf - tk - transformer-kernel ranking - by mitra et al., 2020: https://arxiv.org/pdf/2104.09393.pdf - based on "matchmaker" by hofstätter et al.: https://github.com/sebastian-hofstaetter/matchmaker run `make help` to see the available target environments to run the code.
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neural information retrieval and ranking & extractive question answering