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Shaodian Zhang

Shaodian Zhang has 2 papers in our library, in 2010–2011; often with Bao-Liang Lu, Furu Wei, Guodong Zhou.

2 papers in our library · 2010–2011

OpenAlex · ORCID · Wikidata · h-index 16 · 31 works · 1,379 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 90 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #4117

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏥Second Affiliated Hospital of Zhejiang UniversityHangzhou · China2023–2025 · 3 paperscurrent🎓Zhejiang UniversityHangzhou · China2023–2025 · 3 paperscurrent🎓Columbia UniversityNew York · United States2013–2020 · 12 papers🎓Shanghai Jiao Tong UniversityShanghai · China2010–2021 · 11 papers🏢Shanghai Senyi Medical TechnologyShanghai · China2020–2022 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

💡 Concepts 1Key ideas and methods explained on our concept pages.Named entity recognition · 1 work

 Works by year

2010s

20111 paper20101 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Recognizing Named Entities in Tweets (2011 · 436 citations)
    The paper tackles named entity recognition on Twitter, where messages are short, noisy and ungrammatical. Systems built for news text break down there: Stanford NER, trained on CoNLL03, falls from 90.8% to 45.8% F1 on tweets, and annotated tweet data is scarce. The authors combine two models. First, a K-Nearest…
  2. Hedge Detection and Scope Finding by Sequence Labeling with Procedural Feature Selection (2010 · 5 citations)
    The paper describes a system built for the CoNLL-2010 shared task. The task has two parts: detecting speculative language (hedges) and resolving the scope of each hedge cue. Data came from the BioScope corpus (biomedical abstracts and full texts) and from Wikipedia "weasel" annotations. Both tasks are cast as…

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Recognizing Named Entities in TweetsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaohua Liu, Shaodian Zhang, Furu Wei, et al.2011 · 436 citations
  2. Label-Aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition ↗Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · no summary yetZhenghui Wang et al.2018 · 91 citations
  3. Hedge Detection and Scope Finding by Sequence Labeling with Procedural Feature SelectionConference on Computational Natural Language Learning (CoNLL)Shaodian Zhang, Hai Zhao, Guodong Zhou, et al.2010 · 5 citations

 Co-authors here

6 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 90 times (of the 149,439 papers whose bibliographies we read); 10 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/shaodian-zhang/