43 citations · 83 across the 40 of their papers we have counts for
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cs.CL2020★ 3 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.CL2020★ 1 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…
cs.CL2020★ 3 cited
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…