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.
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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. https://doi.org/10.1007/978-3-642-37247-6_45
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DOI: https://doi.org/10.1007/978-3-642-37247-6_45
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