IPM NEL (Derczynski)

It comprises the addition of an entity URI layer on top of an NER-annotated tweet dataset. The task is to detect entities and then provide a correct link to them in DBpedia, thus disambiguating otherwise ambiguous entity surface forms; for example, this means linking "Paris" to the correct instance of a city named that (e.g. Paris, France vs. Paris, Texas).

The data concentrates on ten types of named entities: company, facility, geographic location, movie, musical artist, person, product, sports team, TV show, and other. The file is tab separated, in CoNLL format, with line breaks between tweets. Data preserves the tokenisation used in the Ritter datasets.