Ming Zhou · page 2

29 papers in our library · 2000–2022 · page 2 of 2

Papers

The most cited first (OpenAlex and our library).

Style Transfer as Unsupervised Machine Translation (2018 · 165 citations)
Text style transfer means rewriting a sentence so that it carries a different attribute, such as positive instead of negative sentiment, while what it says stays the same.
A Simple and Effective Unified Encoder for Document-Level Machine Translation (2020 · 136 citations)
Document-level machine translation systems usually encode the surrounding sentences with a separate context encoder.
BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation (2022 · 85 citations)
Sentence-level metrics such as BLEU cannot tell whether a translation system improves document-level coherence, and they cannot point to the discourse problems behind context-unaware output.
A Unified Statistical Model for the Identification of English BaseNP (2000 · 61 citations)
The paper addresses finding English baseNPs, which are flat, non-recursive noun phrases. Most earlier chunkers took a single POS tagging as fixed input, so tagging errors flowed straight into chunking. Xun, Huang and Zhou instead keep the tagger's uncertainty alive. A trigram HMM tagger first produces the N best POS…