Team THUIR demonstrates information retrieval methods in an experimental evaluation, highlighting design implications.
The THUIR team participates in the English subtask of the NTCIR-16 We Want Web with CENTRE(WWW-4) task. This paper elaborates on our methods and discusses the experimental results. We adopt three methods, namely learning-to-rank models, a pre-trained language model tailored for information retrieval, and BERT with prompt learning. Experimental results demonstrate the importance of designing pre-training task specifically for information retrieval. Results also suggest the relatively simple prompt method cannot effectively improve the ranking performance.
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Yang et al. (2022) studied this question.
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