Universal Semantic Tagging for English and Mandarin Chinese

1 code implementation • NAACL 2021 • Wenxi Li, Yiyang Hou, Yajie Ye, Li Liang, Weiwei Sun

By means of the new annotations, we also evaluate a series of neural tagging models to gauge how successful semantic tagging can be: accuracies of 92. 7{\%} and 94. 6{\%} are obtained for Chinese and English respectively.

OPAM: Online Purchasing-behavior Analysis using Machine learning

1 code implementation • 2 Feb 2021 • Sohini Roychowdhury, Ebrahim Alareqi, Wenxi Li

To support the recent increase in online shopping trends, in this work, we present a customer purchasing behavior analysis system using supervised, unsupervised and semi-supervised learning methods.

BIG-bench Machine Learning Partial Label Learning

Categorizing Online Shopping Behavior from Cosmetics to Electronics: An Analytical Framework

1 code implementation • 6 Oct 2020 • Sohini Roychowdhury, Wenxi Li, Ebrahim Alareqi, Akhilesh Pandita, Ao Liu, Joakim Soderberg

A success factor for modern companies in the age of Digital Marketing is to understand how customers think and behave based on their online shopping patterns.

Descriptive Marketing

Learning Error-Driven Curriculum for Crowd Counting

no code implementations • 19 Jul 2020 • Wenxi Li, Zhuoqun Cao, Qian Wang, Songjian Chen, Rui Feng

Density regression has been widely employed in crowd counting.

Crowd Counting