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Pre-training Methods in Information Retrieval
[article]
2022
arXiv
pre-print
The core of information retrieval (IR) is to identify relevant information from large-scale resources and return it as a ranked list to respond to the user's information need. In recent years, the resurgence of deep learning has greatly advanced this field and leads to a hot topic named NeuIR (i.e., neural information retrieval), especially the paradigm of pre-training methods (PTMs). Owing to sophisticated pre-training objectives and huge model size, pre-trained models can learn universal
arXiv:2111.13853v3
fatcat:pilemnpphrgv5ksaktvctqdi4y