Better together
Author:
Affiliation:
1. Leibniz University of Hannover, Hannover, Germany
2. FORTH-ICS, Heraklion, Greece
3. GESIS - Leibniz Institute for the Social Sciences, Cologne, Germany
Funder
CNPq (Brazilian National Council for Scientific and Technological Development)
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3341105.3373883
Reference33 articles.
1. K. Bontcheva L. Derczynski and I. Roberts. 2017. Crowdsourcing named entity recognition and entity linking corpora. In Handbook of Linguistic Annotation. Springer. K. Bontcheva L. Derczynski and I. Roberts. 2017. Crowdsourcing named entity recognition and entity linking corpora. In Handbook of Linguistic Annotation . Springer.
2. L. Canale P. Lisena and R. Troncy. 2018. A Novel Ensemble Method for Named Entity Recognition and Disambiguation Based on Neural Network. In ISWC. Springer. L. Canale P. Lisena and R. Troncy. 2018. A Novel Ensemble Method for Named Entity Recognition and Disambiguation Based on Neural Network. In ISWC . Springer.
3. A. E. Cano D. Preotiuc-Pietro D. Radovanović K. Weller and A. Dadzie. 2016. #Microposts2016: 6th Workshop on Making Sense of Microposts: Big Things Come in Small Packages. In WWW. IW3C2. A. E. Cano D. Preotiuc-Pietro D. Radovanović K. Weller and A. Dadzie. 2016. #Microposts2016: 6th Workshop on Making Sense of Microposts: Big Things Come in Small Packages. In WWW . IW3C2.
4. Y. Cao L. Hou J. Li and Z. Liu. 2018. Neural Collective Entity Linking. In COLING. Y. Cao L. Hou J. Li and Z. Liu. 2018. Neural Collective Entity Linking. In COLING .
5. L. Chen J. M. Jose H. Yu F. Yuan and H. Zhang. 2016. Probabilistic Topic Modelling with Semantic Graph. In ECIR. Springer. L. Chen J. M. Jose H. Yu F. Yuan and H. Zhang. 2016. Probabilistic Topic Modelling with Semantic Graph. In ECIR . Springer.
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