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20182026
most citedUnderstanding the Behaviors of BERT in Ranking

146 citations · 408 across the 42 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CL2021★ 10 cited

YACLC: A Chinese Learner Corpus with Multidimensional Annotation

Yingying Wang, Cunliang Kong, Liner Yang +8

Learner corpus collects language data produced by L2 learners, that is second or foreign-language learners. This resource is of great relevance for second language acquisition rese…

cs.IR2021

More Robust Dense Retrieval with Contrastive Dual Learning

Yizhi Li, Zhenghao Liu, Chenyan Xiong +1

Dense retrieval conducts text retrieval in the embedding space and has shown many advantages compared to sparse retrieval. Existing dense retrievers optimize representations of que…

cs.IR2021★ 73 cited

Few-Shot Conversational Dense Retrieval

Shi Yu, Zhenghao Liu, Chenyan Xiong +2

Dense retrieval (DR) has the potential to resolve the query understanding challenge in conversational search by matching in the learned embedding space. However, this adaptation is…

cs.CL2021★ 1 cited

Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction

Zhenghao Liu, Xiaoyuan Yi, Maosong Sun +2

Grammatical Error Correction (GEC) aims to correct writing errors and help language learners improve their writing skills. However, existing GEC models tend to produce spurious cor…

cs.IR2021★ 3 cited

OpenMatch: An Open Source Library for Neu-IR Research

Zhenghao Liu, Kaitao Zhang, Chenyan Xiong +2

OpenMatch is a Python-based library that serves for Neural Information Retrieval (Neu-IR) research. It provides self-contained neural and traditional IR modules, making it easy to…