LiMoSINe Pipeline: Multilingual UIMA-based NLP Platform

Olga Uryupina, Barbara Plank, Gianni Barlacchi, Francisco J Valverde-Albacete, Manos Tsagkias, Antonio Uva, Alessandro Moschitti
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
more » ... is available in two versions: a standalone distribution enables design and optimization of userspecific sub-modules, whereas a server-client distribution allows for straightforward highperformance NLP processing, reducing the engineering cost for higher-level tasks. 157
doi:10.18653/v1/p16-4027 dblp:conf/acl/UryupinaPBVTUM16 fatcat:tbxesxzcx5emxallenvvosjzyq