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LiMoSINe Pipeline: Multilingual UIMA-based NLP Platform
2016
Proceedings of ACL-2016 System Demonstrations
We present a robust and efficient parallelizable multilingual UIMA-based platform for automatically annotating textual inputs with different layers of linguistic description, ranging from surface level phenomena all the way down to deep discourse-level information. In particular, given an input text, the pipeline extracts: sentences and tokens; entity mentions; syntactic information; opinionated expressions; relations between entity mentions; co-reference chains and wikified entities. The
doi:10.18653/v1/p16-4027
dblp:conf/acl/UryupinaPBVTUM16
fatcat:tbxesxzcx5emxallenvvosjzyq