 Citation Information  ```bibtex @inproceedings{tedeschi-etal-2021-wikineural-combined,     title = "{W}iki{NE}u{R}al: {C}ombined Neural and Knowledge-based Silver Data Creation for Multilingual {NER}",     author = "Tedeschi, Simone  and       Maiorca, Valentino  and       Campolungo, Niccol{\`o}  and       Cecconi, Francesco  and       Navigli, Roberto",     booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2021",     month = nov,     year = "2021",     address = "Punta Cana, Dominican Republic",     publisher = "Association for Computational Linguistics",     url = "https://aclanthology.org/2021.findings-emnlp.215",     pages = "2521--2533",     abstract = "Multilingual Named Entity Recognition (NER) is a key intermediate task which is needed in many areas of NLP. In this paper, we address the well-known issue of data scarcity in NER, especially relevant when moving to a multilingual scenario, and go beyond current approaches to the creation of multilingual silver data for the task. We exploit the texts of Wikipedia and introduce a new methodology based on the effective combination of knowledge-based approaches and neural models, together with a novel domain adaptation technique, to produce high-quality training corpora for NER. We evaluate our datasets extensively on standard benchmarks for NER, yielding substantial improvements up to 6 span-based F1-score points over previous state-of-the-art systems for data creation.", } ```  