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title: "Ming Zhou — papers, page 2 — Elamur Research"
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# Ming Zhou · page 2

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

[The profile, affiliations and co-authors →](https://md.research.elamur.ai/free/en/authors/ming-zhou/)

## Papers

The most cited first (OpenAlex and our library).

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26. **[Neural Open Information Extraction](https://md.research.elamur.ai/free/en/papers/cui-2018-neural-open-information-extraction/)** *(2018 · 188 citations)* Most Open IE systems derive relation tuples from hand-written patterns applied to syntactic parser output.
27. **[Style Transfer as Unsupervised Machine Translation](https://md.research.elamur.ai/free/en/papers/zhang-2018-style-transfer-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.
28. **[A Simple and Effective Unified Encoder for Document-Level Machine Translation](https://md.research.elamur.ai/free/en/papers/ma-2020-simple-effective-unified-encoder-document/)** *(2020 · 136 citations)* Document-level machine translation systems usually encode the surrounding sentences with a separate context encoder.
29. **[BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation](https://md.research.elamur.ai/free/en/papers/jiang-2022-blonde-automatic-evaluation-metric-document/)** *(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.
30. **[A Unified Statistical Model for the Identification of English BaseNP](https://md.research.elamur.ai/free/en/papers/xun-2000-unified-statistical-model-identification-english/)** *(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…

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