Jiaming Shen

Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering

2018

User information needs vary significantly across different tasks, and therefore their queries will also differ considerably in their expressiveness and semantics. Many studies have been proposed to model such query diversity by obtaining query types …

Taxonomy Completion via Triplet Matching Network

2021 · arXiv (Cornell University)

Automatically constructing taxonomy finds many applications in e-commerce and web search. One critical challenge is as data and business scope grow in real applications, new concepts are emerging and needed to be added to the …

Weakly-Supervised Neural Text Classification

2018

Deep neural networks are gaining increasing popularity for the classic text classification task, due to their strong expressive power and less requirement for feature engineering. Despite such attractiveness, neural text classification models suffer from the …