no code implementations • NAACL (ACL) 2022 • Vivek Kulkarni, Kenny Leung, Aria Haghighi
In contrast to most prior work which only focuses on post-classification into a small number of topics (10-20), we consider the task of large-scale topic classification in the context of Twitter where the topic space is 10 times larger with potentially multiple topic associations per Tweet.
no code implementations • 12 May 2022 • Ahmed El-Kishky, Thomas Markovich, Kenny Leung, Frank Portman, Aria Haghighi, Ying Xiao
To this end, we introduce kNN-Embed, a general approach to improving diversity in dense ANN-based retrieval.
no code implementations • 3 May 2022 • Vivek Kulkarni, Kenny Leung, Aria Haghighi
In contrast to most prior work which only focuses on post classification into a small number of topics ($10$-$20$), we consider the task of large-scale topic classification in the context of Twitter where the topic space is $10$ times larger with potentially multiple topic associations per Tweet.