MT/IE: Cross-lingual Open Information Extraction with Neural Sequence-to-Sequence Models

EACL 2017 Sheng ZhangKevin DuhBenjamin Van Durme

Cross-lingual information extraction is the task of distilling facts from foreign language (e.g. Chinese text) into representations in another language that is preferred by the user (e.g. English tuples). Conventional pipeline solutions decompose the task as machine translation followed by information extraction (or vice versa)... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.