An annotation type system for a data-driven NLP pipeline

Udo Hahn, Ekaterina Buyko, Katrin Tomanek, Scott Piao, John McNaught, Yoshimasa Tsuruoka, Sophia Ananiadou

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    We introduce an annotation type system for a data-driven NLP core system. The specifications cover formal document structure and document meta information, as well as the linguistic levels of morphology, syntax and semantics. The type system is embedded in the framework of the Unstructured Information Management Architecture (UIMA). © 2007 Association for Computational Linguistics.
    Original languageEnglish
    Title of host publicationACL 2007: The LAW - Proceedings of The Linguistic Annotation Workshop|ACL - LAW, Proc. Linguist. Annot. Workshop
    Pages33-40
    Number of pages7
    Publication statusPublished - 2007
    EventLinguistic Annotation Workshop, LAW 2007 - Prague
    Duration: 1 Jul 2007 → …

    Conference

    ConferenceLinguistic Annotation Workshop, LAW 2007
    CityPrague
    Period1/07/07 → …

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