Abstract
Text documents are structured on (at least) two separate levels: The “logical” structure is largely reflected in the layout (headlines, paragraphs, etc.), and the “content” structure specifies the functional zones that serve a part of the text’s overall communicative purpose. The latter is clearly genre-specific, whereas the former is independent of the particular text genre. In this chapter, we describe an approach to identifying both structural levels automatically. For content structure, we focus on the genre “film review”: Based on a corpus study, we propose an inventory of zone labels, and describe our method for identifying these zones, using a hybrid approach that makes use of both symbolic rules and statistical (bag-of-words) classification.
The work reported in this chapter originated when one of the authors (A. Suriyawongkul) was a researcher at Potsdam University.
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Acknowledgments
The work reported in this chapter was funded by the German Federal Ministry of Education and Research, grant 03WKH22. We thank Heike Bieler and Stefanie Dipper for their contributions to the SUMMaR project, and Annika Neumann and Andreas Peldszus for their help with defining tag sets and performing annotations.
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Stede, M., Suriyawongkul, A. (2010). Identifying Logical Structure and Content Structure in Loosely-Structured Documents. In: Witt, A., Metzing, D. (eds) Linguistic Modeling of Information and Markup Languages. Text, Speech and Language Technology, vol 41. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-3331-4_5
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DOI: https://doi.org/10.1007/978-90-481-3331-4_5
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