3 citations · 8 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
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…
Conditional Neural Generation using Sub-Aspect Functions for Extractive News Summarization
Zhengyuan Liu, Ke Shi, Nancy F. Chen
Much progress has been made in text summarization, fueled by neural architectures using large-scale training corpora. However, in the news domain, neural models easily overfit by l…