15 citations · 37 across the 6 of their papers we have counts for
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cs.IR2022
Finding Inverse Document Frequency Information in BERT
Jaekeol Choi, Euna Jung, Sungjun Lim +1
For many decades, BM25 and its variants have been the dominant document retrieval approach, where their two underlying features are Term Frequency (TF) and Inverse Document Frequen…
cs.IR2021★ 15 cited
Improving Bi-encoder Document Ranking Models with Two Rankers and Multi-teacher Distillation
Jaekeol Choi, Euna Jung, Jangwon Suh +1
BERT-based Neural Ranking Models (NRMs) can be classified according to how the query and document are encoded through BERT's self-attention layers - bi-encoder versus cross-encoder…
cs.IR2020★ 10 cited
Interpreting Neural Ranking Models using Grad-CAM
Jaekeol Choi, Jungin Choi, Wonjong Rhee
Recently, applying deep neural networks in IR has become an important and timely topic. For instance, Neural Ranking Models(NRMs) have shown promising performance compared to the t…