# On the Use of Parsing for Named Entity Recognition
## 2 Named Entity Recognition
### Shared Tasks and Data Sets for NER
Several NER data sets have been derived from this shared task series, namely, BC5 CDR [69], a corpus for the evaluation of biomarker chemical-disease relations from the biomedical literature in support of biocuration, new drug discovery, and drug safety surveillance; and the BC2 GM ([[https://github.com/spyysalo/bc2](https://github.com/spyysalo/bc2) gm-corpus]([https://github.com/spyysalo/bc2](https://github.com/spyysalo/bc2) gm-corpus)) corpus for gene mention tagging. * BioNLP Shared Tasks ([[https://2019.bionlp-ost.org/](https://2019.bionlp-ost.org/)]([https://2019.bionlp-ost.org/](https://2019.bionlp-ost.org/))), dedicated to computational tasks in the field of biomedical text mining, with editions in 2009 [70], 2011 [71], 2013 [72], 2016 [73], and 2019 [74]. The first editions were supported by the GENIA project ([[http://www.geniaproject.org/](http://www.geniaproject.org/)]([http://www.geniaproject.org/](http://www.geniaproject.org/))) [75]. * N2c2 ([[https://n2c2.dbmi.hms.harvard.edu/](https://n2c2.dbmi.hms.harvard.edu/)]([https://n2c2.dbmi.hms.harvard.edu/](https://n2c2.dbmi.hms.harvard.edu/))), the National NLP Clinical Challenges, continuation of the i2b2 (Informatics for Integrating Biology & the Bedside) challenges ([[https://www.i2b2.org/NLP/DataSets/Main.php](https://www.i2b2.org/NLP/DataSets/Main.php)]([https://www.i2b2.org/NLP/DataSets/Main.php](https://www.i2b2.org/NLP/DataSets/Main.php))) held since 2006. Some of these shared tasks on clinical text mining involve the use of NER. * ShARe/CLEF eHealth Evaluation Lab ([[https://sites.google.com/site/clefehealth/datasets](https://sites.google.com/site/clefehealth/datasets)]([https://sites.google.com/site/clefehealth/datasets](https://sites.google.com/site/clefehealth/datasets))), a series of shared tasks that started in 2013 [76], focused on NLP and Information Retrieval for clinical care, including several tracks on NER. * GermEval ([[https://germeval.github.io/tasks/](https://germeval.github.io/tasks/)]([https://germeval.github.io/tasks/](https://germeval.github.io/tasks/))), the series of evaluation campaigns that focus on NLP for the German language, with the 2014 edition dedicated to NER [77]. * W-NUT ([[http://noisy-text.github.io/](http://noisy-text.github.io/)]([http://noisy-text.github.io/](http://noisy-text.github.io/))), the Workshops on Noisy User-generated Text, held annually since 2015 [78], are focused on noisy text found in social media, online reviews, crowdsourced data, web forums, clinical records, and language learner essays. Except for a break in 2018-2019, all editions feature a NER-based shared task. * CCRS ([[http://www.cipsc.org.cn/sigkg/?cat=9](http://www.cipsc.org.cn/sigkg/?cat=9)]([http://www.cipsc.org.cn/sigkg/?cat=9](http://www.cipsc.org.cn/sigkg/?cat=9))), the series of China Conferences on Knowledge Graph and Semantic Computing, resulting from the merger in 2016 [79] of the former Chinese Knowledge Graph Symposium (CKGS) and Chinese Semantic Web and Web Science Conference (CSWS). CCRS include shared tasks on Chinese NER for several domains ([[http://sigkg.cn/ccks2020/?page_id=69](http://sigkg.cn/ccks2020/?page_id=69)]([http://sigkg.cn/ccks2020/?page_id=69](http://sigkg.cn/ccks2020/?page_id=69)); [[http://www.ccks](http://www.ccks)]([http://www.ccks](http://www.ccks)) 2019.cn/?page_id=62; [[http://ceur-ws.org/Vol-2424/](http://ceur-ws.org/Vol-2424/)]([http://ceur-ws.org/Vol-2424/](http://ceur-ws.org/Vol-2424/)); [[http://ceur-ws.org/Vol-1976/](http://ceur-ws.org/Vol-1976/)]([http://ceur-ws.org/Vol-1976/](http://ceur-ws.org/Vol-1976/)); [[https://dblp.org/db/conf/ccks/ccks2016.html](https://dblp.org/db/conf/ccks/ccks2016.html)]([https://dblp.org/db/conf/ccks/ccks2016.html](https://dblp.org/db/conf/ccks/ccks2016.html))).