e-space
Manchester Metropolitan University's Research Repository

    Towards event-based discourse analysis of biomedical text

    Nawaz, Raheel ORCID logoORCID: https://orcid.org/0000-0001-9588-0052, Thompson, Paul and Ananiadou, Sophia (2013) Towards event-based discourse analysis of biomedical text. International Journal of Computational Linguistics and Applications, 4 (2). pp. 101-120. ISSN 0976-0962

    [img]
    Preview
    Published Version
    Available under License In Copyright.

    Download (1MB) | Preview

    Abstract

    Annotating biomedical text with discourse-level information is a well-studied topic. Several research efforts have annotated textual zones (e.g., sentences or clauses) with information about rhetorical status, whilst other efforts have linked and classified sets of text spans according to the type of discourse relation holding between them. A relatively new approach has involved annotating meta-knowledge (i.e., rhetorical intent and other types of information concerning interpretation) at the level of bio-events, which are structured representations of pieces of biomedical knowledge. In this paper, we report on the examination and comparison of transitions and patterns of event metaknowledge values that occur in both abstracts and full papers. Our analysis highlights a number of specific characteristics of event-level discourse patterns, as well as several noticeable differences between the types of patterns that occur in abstracts and full papers.

    Impact and Reach

    Statistics

    Activity Overview
    6 month trend
    45Downloads
    6 month trend
    293Hits

    Additional statistics for this dataset are available via IRStats2.

    Repository staff only

    Edit record Edit record