3 papers
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
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.LG2020
Short-term Traffic Prediction with Deep Neural Networks: A Survey
Kyungeun Lee, Moonjung Eo, Euna Jung +2
In modern transportation systems, an enormous amount of traffic data is generated every day. This has led to rapid progress in short-term traffic prediction (STTP), in which deep l…