LiMoSINe pipeline: Multilingual UIMA-based NLP platform

Olga Uryupina, Barbara Plank, Gianni Barlacchi, Francisco Valverde Albacete, Manos Tsagkias, Antonio Uva, Alessandro Moschitti

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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 system 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.

Original languageEnglish
Title of host publication54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - System Demonstrations
PublisherAssociation for Computational Linguistics (ACL)
Pages157-162
Number of pages6
ISBN (Electronic)9781510827615
Publication statusPublished - 2016
Event54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Berlin, Germany
Duration: 7 Aug 201612 Aug 2016

Other

Other54th Annual Meeting of the Association for Computational Linguistics, ACL 2016
CountryGermany
CityBerlin
Period7/8/1612/8/16

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ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Linguistics and Language
  • Language and Linguistics

Cite this

Uryupina, O., Plank, B., Barlacchi, G., Albacete, F. V., Tsagkias, M., Uva, A., & Moschitti, A. (2016). LiMoSINe pipeline: Multilingual UIMA-based NLP platform. In 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - System Demonstrations (pp. 157-162). Association for Computational Linguistics (ACL).