39 citations · 75 across the 2 of their papers we have counts for
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cs.CL2018
QuaSE: Accurate Text Style Transfer under Quantifiable Guidance
Yi Liao, Lidong Bing, Piji Li +3
We propose the task of Quantifiable Sequence Editing (QuaSE): editing an input sequence to generate an output sequence that satisfies a given numerical outcome value measuring a ce…
cs.CL2015★ 36 cited
Abstractive Multi-Document Summarization via Phrase Selection and Merging
Lidong Bing, Piji Li, Yi Liao +3
We propose an abstraction-based multi-document summarization framework that can construct new sentences by exploring more fine-grained syntactic units than sentences, namely, noun/…
cs.CL2015★ 39 cited
Reader-Aware Multi-Document Summarization via Sparse Coding
Piji Li, Lidong Bing, Wai Lam +2
We propose a new MDS paradigm called reader-aware multi-document summarization (RA-MDS). Specifically, a set of reader comments associated with the news reports are also collected.…