activity
20182022
most citedTable Search Using a Deep Contextualized Language Model

47 citations · 161 across the 10 of their papers we have counts for

collaborators

10 papers

cs.IR2022★ 35 cited

StruBERT: Structure-aware BERT for Table Search and Matching

Mohamed Trabelsi, Zhiyu Chen, Shuo Zhang +2

A large amount of information is stored in data tables. Users can search for data tables using a keyword-based query. A table is composed primarily of data values that are organize…

cs.CV2021

Adversarial Regression Learning for Bone Age Estimation

Youshan Zhang, Brian D. Davison

Estimation of bone age from hand radiographs is essential to determine skeletal age in diagnosing endocrine disorders and depicting the growth status of children. However, existing…

cs.IR2021★ 40 cited

Neural ranking models for document retrieval

Mohamed Trabelsi, Zhiyu Chen, Brian D. Davison +1

Ranking models are the main components of information retrieval systems. Several approaches to ranking are based on traditional machine learning algorithms using a set of hand-craf…

cs.CV2020★ 3 cited

Adversarial Consistent Learning on Partial Domain Adaptation of PlantCLEF 2020 Challenge

Youshan Zhang, Brian D. Davison

Domain adaptation is one of the most crucial techniques to mitigate the domain shift problem, which exists when transferring knowledge from an abundant labeled sourced domain to a…

cs.LG2020★ 16 cited

Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Clusters for Extreme Multi-label Text Classification

Hui Ye, Zhiyu Chen, Da-Han Wang +1

Extreme multi-label text classification (XMTC) is a task for tagging a given text with the most relevant labels from an extremely large label set. We propose a novel deep learning…

cs.IR2020★ 47 cited

Table Search Using a Deep Contextualized Language Model

Zhiyu Chen, Mohamed Trabelsi, Jeff Heflin +2

Pretrained contextualized language models such as BERT have achieved impressive results on various natural language processing benchmarks. Benefiting from multiple pretraining task…