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NAYEL at SemEval-2020 Task 12: TF/IDF-Based Approach for Automatic Offensive Language Detection in Arabic Tweets
The best performed system and the system in the last rank reported 90. 17% and 44. 51% f1-score on test set respectively.
Integrating Dictionary Feature into A Deep Learning Model for Disease Named Entity Recognition
In this paper, a DL model for Disease-NER using dictionary information is proposed and evaluated on National Center for Biotechnology Information (NCBI) disease corpus and BC5CDR dataset.
Improving Multi-Word Entity Recognition for Biomedical Texts
The proposed SR model, FROBES, improves the representation of multi-word entities.
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