Facilitating the Analysis of Discourse Phenomena in an Interoperable NLP Platform

  • Riza Theresa Batista-Navarro
  • Georgios Kontonatsios
  • Claudiu Mihăilă
  • Paul Thompson
  • Rafal Rak
  • Raheel Nawaz
  • Ioannis Korkontzelos
  • Sophia Ananiadou
Conference paper

DOI: 10.1007/978-3-642-37247-6_45

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7816)
Cite this paper as:
Batista-Navarro R.T. et al. (2013) Facilitating the Analysis of Discourse Phenomena in an Interoperable NLP Platform. In: Gelbukh A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2013. Lecture Notes in Computer Science, vol 7816. Springer, Berlin, Heidelberg

Abstract

The analysis of discourse phenomena is essential in many natural language processing (NLP) applications. The growing diversity of available corpora and NLP tools brings a multitude of representation formats. In order to alleviate the problem of incompatible formats when constructing complex text mining pipelines, the Unstructured Information Management Architecture (UIMA) provides a standard means of communication between tools and resources. U-Compare, a text mining workflow construction platform based on UIMA, further enhances interoperability through a shared system of data types, allowing free combination of compliant components into workflows. Although U-Compare and its type system already support syntactic and semantic analyses, support for the analysis of discourse phenomena was previously lacking. In response, we have extended the U-Compare type system with new discourse-level types. We illustrate processing and visualisation of discourse information in U-Compare by providing several new deserialisation components for corpora containing discourse annotations. The new U-Compare is downloadable from http://nactem.ac.uk/ucompare.

Keywords

UIMA interoperabilty U-Compare discourse causality coreference meta-knowledge 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Riza Theresa Batista-Navarro
    • 1
  • Georgios Kontonatsios
    • 1
  • Claudiu Mihăilă
    • 1
  • Paul Thompson
    • 1
  • Rafal Rak
    • 1
  • Raheel Nawaz
    • 1
  • Ioannis Korkontzelos
    • 1
  • Sophia Ananiadou
    • 1
  1. 1.The National Centre for Text MiningThe University of ManchesterManchesterUK

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