RSS-500 NIF NER CORPUS
This corpus has been created using a dataset comprising a list of 1,457 RSS feeds as compiled in (Goldhahn et al. 2012). The list includes all major worldwide newspapers and a wide range of topics, e.g., World , U.S. , Business , Sci- ence etc. The RSS list has been compiled using a 76-hour crawl, which resulted in a…
This corpus has been created using a dataset comprising a
list of 1,457 RSS feeds as compiled in (Goldhahn et al. 2012). The list includes all major worldwide newspapers
and a wide range of topics, e.g.,
World
,
U.S.
,
Business
,
Sci-
ence
etc. The RSS list has been compiled using a 76-hour
crawl, which resulted in a corpus of about 11.7 million sen-
tences. A subset of this corpus has been created by ran-
domly selecting 1% of the contained sentences.
Finally, one researcher annotated 500 randomly chosen
sentences manually. These sentences were a subset of
those which contained a natural language representation
of a formal relation, like “. . . , who was born in. . . ” for
dpo:birthPlace
(see (Gerber and Ngomo, 2012)). The
relations had to occur more than 5 times in the 1% corpus.
In case the mentioned entity is not contained in a new URI
has been generated. This corpus has been used for evalua-
tion purposes in (Gerber et al., 2013)
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