zhengyima/Anchors

Source code of CIKM2021 Paper 'Pre-training for Ad-hoc Retrieval: Hyperlink is Also You Need'

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This project helps information retrieval researchers improve the quality of ad-hoc search results. It takes a large text corpus, especially one with hyperlinks like Wikipedia, processes it to understand relationships, and then outputs a pre-trained language model. This model can then be used by researchers to enhance search relevance and ranking in their retrieval systems.

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Use this if you are an information retrieval researcher working on ad-hoc retrieval and want to leverage hyperlink structures for pre-training language models to improve search relevance.

Not ideal if you are looking for an out-of-the-box search engine or a solution for general text classification, as this requires significant technical setup and understanding of pre-training.

information-retrieval ad-hoc-search search-relevance language-model-pretraining academic-research
No License Stale 6m No Package No Dependents
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Python

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Last pushed

Aug 30, 2021

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