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cs.IR2023
CAME: Competitively Learning a Mixture-of-Experts Model for First-stage Retrieval
Yinqiong Cai, Yixing Fan, Keping Bi +4
The first-stage retrieval aims to retrieve a subset of candidate documents from a huge collection both effectively and efficiently. Since various matching patterns can exist betwee…
cs.IR2023
CIR at the NTCIR-17 ULTRE-2 Task
Lulu Yu, Keping Bi, Jiafeng Guo +1
The Chinese academy of sciences Information Retrieval team (CIR) has participated in the NTCIR-17 ULTRE-2 task. This paper describes our approaches and reports our results on the U…
cs.IR2023★ 2 cited
A Comparative Study of Training Objectives for Clarification Facet Generation
Shiyu Ni, Keping Bi, Jiafeng Guo +1
Due to the ambiguity and vagueness of a user query, it is essential to identify the query facets for the clarification of user intents. Existing work on query facet generation has…