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arXiv 1503.06450cs.CL

Multilingual Open Relation Extraction Using Cross-lingual Projection

Carnegie Mellon University(卡内基梅隆大学);Google Inc.(谷歌公司)

Manaal Faruqui, Shankar Kumar

英文摘要:

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 61 languages from Wikipedia.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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