Multilingual Open Relation Extraction Using Cross-lingual Projection
Abstract
Open domain relation extraction systems identify
relation and argument phrases in a sentence
without relying on any underlying
schema. However, current state-of-the-art relation
extraction systems are available only
for English because of their heavy reliance
on linguistic tools such as part-of-speech taggers
and dependency parsers. We present a
cross-lingual annotation projection method for
language independent relation extraction. We
evaluate our method on a manually annotated
test set and present results on three typologically
different languages. We release these
manual annotations and extracted relations in
ten languages from Wikipedia.
relation and argument phrases in a sentence
without relying on any underlying
schema. However, current state-of-the-art relation
extraction systems are available only
for English because of their heavy reliance
on linguistic tools such as part-of-speech taggers
and dependency parsers. We present a
cross-lingual annotation projection method for
language independent relation extraction. We
evaluate our method on a manually annotated
test set and present results on three typologically
different languages. We release these
manual annotations and extracted relations in
ten languages from Wikipedia.
Research Areas
