Pre-training Methods in Information Retrieval
نویسندگان
چکیده
The core of information retrieval (IR) is to identify relevant from large-scale resources and return it as a ranked list respond the user's need. Recently, resurgence deep learning has greatly advanced this field leads hot topic named NeuIR (i.e., neural retrieval), especially paradigm pre-training methods (PTMs). Owing sophisticated objectives huge model size, pre-trained models can learn universal language representations massive textual data, which are beneficial ranking task IR. Since there have been large number works dedicating application PTMs in IR, we believe right time summarize current status, existing researches, gain some insights for future development. In survey, present an overview applied different components IR system, including component, re-ranking other components. addition, also introduce specifically designed available datasets well benchmark leaderboards. Moreover, discuss open challenges envision promising directions, with hope inspiring more on these topics research.
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ژورنال
عنوان ژورنال: Foundations and Trends in Information Retrieval
سال: 2022
ISSN: ['1554-0669', '1554-0677']
DOI: https://doi.org/10.1561/1500000100