26 citations · 74 across the 10 of their papers we have counts for
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cs.LG2020★ 3 cited
A Study on the Autoregressive and non-Autoregressive Multi-label Learning
Elham J. Barezi, Iacer Calixto, Kyunghyun Cho +1
Extreme classification tasks are multi-label tasks with an extremely large number of labels (tags). These tasks are hard because the label space is usually (i) very large, e.g. tho…
cs.CL2020★ 9 cited
CAiRE-COVID: A Question Answering and Query-focused Multi-Document Summarization System for COVID-19 Scholarly Information Management
Dan Su, Yan Xu, Tiezheng Yu +3
We present CAiRE-COVID, a real-time question answering (QA) and multi-document summarization system, which won one of the 10 tasks in the Kaggle COVID-19 Open Research Dataset Chal…