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Yan Shao

4 papers hereh-index 7343 citations16 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author2
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL4
same name
  • Yan Shao — 10 papers, h 1
  • Yan Shao — 3 papers, h 2
  • Yan Shao — 2 papers, h 4
  • Yan Shao — 2 papers, h 5
  • Yan Shao — 1 paper, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedCharacter-based Joint Segmentation and POS Tagging for Chinese using Bidirectional RNN-CRF

69 citations · 74 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2018

82 Treebanks, 34 Models: Universal Dependency Parsing with Multi-Treebank Models

Aaron Smith, Bernd Bohnet, Miryam de Lhoneux +3

We present the Uppsala system for the CoNLL 2018 Shared Task on universal dependency parsing. Our system is a pipeline consisting of three components: the first performs joint word…

cs.CL2018

Universal Word Segmentation: Implementation and Interpretation

Yan Shao, Christian Hardmeier, Joakim Nivre

Word segmentation is a low-level NLP task that is non-trivial for a considerable number of languages. In this paper, we present a sequence tagging framework and apply it to word se…

cs.CL2017★ 5 cited

Cross-lingual Word Segmentation and Morpheme Segmentation as Sequence Labelling

Yan Shao

This paper presents our segmentation system developed for the MLP 2017 shared tasks on cross-lingual word segmentation and morpheme segmentation. We model both word and morpheme se…

cs.CL2017★ 69 cited

Character-based Joint Segmentation and POS Tagging for Chinese using Bidirectional RNN-CRF

Yan Shao, Christian Hardmeier, Jörg Tiedemann +1

We present a character-based model for joint segmentation and POS tagging for Chinese. The bidirectional RNN-CRF architecture for general sequence tagging is adapted and applied wi…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.