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@@ -19,7 +19,7 @@ VnCoreNLP is an NLP annotation pipeline for Vietnamese, providing rich linguisti
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2. Dat Quoc Nguyen, Dai Quoc Nguyen, Thanh Vu, Mark Dras and Mark Johnson. **2018**. [A Fast and Accurate Vietnamese Word Segmenter](http://www.lrec-conf.org/proceedings/lrec2018/summaries/55.html). In *Proceedings of the 11th International Conference on Language Resources and Evaluation*, [LREC 2018](http://lrec2018.lrec-conf.org/en/), pages 2582-2587. [[.bib]](https://dblp.uni-trier.de/rec/bibtex/conf/lrec/NguyenNVDJ18)
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3. Dat Quoc Nguyen, Thanh Vu, Dai Quoc Nguyen, Mark Dras and Mark Johnson. **2017**. [From Word Segmentation to POS Tagging for Vietnamese](http://aclweb.org/anthology/U17-1013). In *Proceedings of the 15th Annual Workshop of the Australasian Language Technology Association*, [ALTA 2017](http://alta2017.alta.asn.au), pages 108-113. [[.bib]](http://aclweb.org/anthology/U17-1013.bib)
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Please **CITE** paper [1] whenever VnCoreNLP is used to produce published results or incorporated into other software. If you are dealing in depth with either word segmentation or POS tagging, you are encouraged to also cite paper [2] or [3], respectively.
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Please **CITE** paper [1] whenever VnCoreNLP is used to produce published results or incorporated into other software. If you are dealing in depth with either word segmentation or POS tagging, you are also encouraged to cite paper [2] or [3], respectively.
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If you are looking for light-weight versions, VnCoreNLP's word segmentation and POS tagging components have also been released as independent packages [RDRsegmenter](https://github.com/datquocnguyen/RDRsegmenter)[2] and [VnMarMoT](https://github.com/datquocnguyen/VnMarMoT)[3], resepectively.
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