activity
20192021
most citedDownstream Model Design of Pre-trained Language Model for Relation Extraction Task

32 citations · 48 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL20211 cited

Towards a Universal NLG for Dialogue Systems and Simulators with Future Bridging

Philipp Ennen, Yen-Ting Lin, Ali Girayhan Ozbay +5

In a dialogue system pipeline, a natural language generation (NLG) unit converts the dialogue direction and content to a corresponding natural language realization. A recent trend…

cs.LG20214 cited

Meta-Learning with MAML on Trees

Jezabel R. Garcia, Federica Freddi, Feng-Ting Liao +5

In meta-learning, the knowledge learned from previous tasks is transferred to new ones, but this transfer only works if tasks are related. Sharing information between unrelated tas…

cs.CL202032 cited

Downstream Model Design of Pre-trained Language Model for Relation Extraction Task

Cheng Li, Ye Tian

Supervised relation extraction methods based on deep neural network play an important role in the recent information extraction field. However, at present, their performance still…

cs.CL2019

Learning a Multi-Domain Curriculum for Neural Machine Translation

Wei Wang, Ye Tian, Jiquan Ngiam +3

Most data selection research in machine translation focuses on improving a single domain. We perform data selection for multiple domains at once. This is achieved by carefully intr…

cs.CV201911 cited

Computer-aided Detection of Squamous Carcinoma of the Cervix in Whole Slide Images

Ye Tian, Li Yang, Wei Wang +7

Goal: Squamous cell carcinoma of cervix is one of the most prevalent cancer worldwide in females. Traditionally, the most indispensable diagnosis of cervix squamous carcinoma is hi…