activity
20162021
most citedAn End-to-End Document-Level Neural Discourse Parser Exploiting Multi-Granularity Representations

3 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2021

DMRST: A Joint Framework for Document-Level Multilingual RST Discourse Segmentation and Parsing

Zhengyuan Liu, Ke Shi, Nancy F. Chen

Text discourse parsing weighs importantly in understanding information flow and argumentative structure in natural language, making it beneficial for downstream tasks. While previo…

cs.CL20211 cited

Multilingual Speech Evaluation: Case Studies on English, Malay and Tamil

Huayun Zhang, Ke Shi, Nancy F. Chen

Speech evaluation is an essential component in computer-assisted language learning (CALL). While speech evaluation on English has been popular, automatic speech scoring on low reso…

cs.CL20203 cited

An End-to-End Document-Level Neural Discourse Parser Exploiting Multi-Granularity Representations

Ke Shi, Zhengyuan Liu, Nancy F. Chen

Document-level discourse parsing, in accordance with the Rhetorical Structure Theory (RST), remains notoriously challenging. Challenges include the deep structure of document-level…

cs.CL20201 cited

Multilingual Neural RST Discourse Parsing

Zhengyuan Liu, Ke Shi, Nancy F. Chen

Text discourse parsing plays an important role in understanding information flow and argumentative structure in natural language. Previous research under the Rhetorical Structure T…

math.DS2016

Sliding control for single-degree-of-freedom fractional oscillators

Jian Yuan, Bao Shi, Guozhong Xiu

This paper proposes fractional sliding control designs for single-degree-of-freedom fractional oscillators respectively of the Kelvin-Voigt type, the modified Kelvin-Voigt type and…