Lennart Kerkvliet author Jaap Kamps author Maarten Marx author 2020-may text English eng European Language Resources Association Marseille, France conference publication 979-10-95546-47-4 We show that it is straightforward to train a state of the art named entity tagger (spaCy) to recognize political actors in Dutch parliamentary proceedings with high accuracy. The tagger was trained on 3.4K manually labeled examples, which were created in a modest 2.5 days work. This resource is made available on github. Besides proper nouns of persons and political parties, the tagger can recognize quite complex definite descriptions referring to cabinet ministers, ministries, and parliamentary committees. We also provide a demo search engine which employs the tagged entities in its SERP and result summaries. kerkvliet-etal-2020-mentions https://www.aclweb.org/anthology/2020.parlaclarin-1.7 2020-may 35 39