Coner: A Collaborative Approach for Long-Tail Named Entity Recognition in Scientific Publications

Author:

Vliegenthart Daniel,Mesbah Sepideh,Lofi Christoph,Aizawa Akiko,Bozzon Alessandro

Publisher

Springer International Publishing

Reference20 articles.

1. Abekawa, T., Aizawa, A.: SideNoter: scholarly paper browsing system based on PDF restructuring and text annotation. In: COLING (Demos), pp. 136–140 (2016)

2. Aizawa, A.: PDFNLT (2018). https://github.com/KMCS-NII/PDFNLT

3. Brambilla, M., Ceri, S., Della Valle, E., Volonterio, R., Acero Salazar, F.X.: Extracting emerging knowledge from social media. In: Proceedings of the 26th International Conference on World Wide Web, pp. 795–804. International World Wide Web Conferences Steering Committee (2017)

4. Eftimov, T., Seljak, B.K., Korošec, P.: A rule-based named-entity recognition method for knowledge extraction of evidence-based dietary recommendations. PLoS One 12(6), e0179488 (2017)

5. Goldberg, S.L., Wang, D.Z., Kraska, T.: CASTLE: crowd-assisted system for text labeling and extraction. In: First AAAI Conference on Human Computation and Crowdsourcing (2013)

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