Chapter

Semantic Annotation

Inderjeet Mani and James Pustejovsky

in Interpreting Motion

Published in print February 2012 | ISBN: 9780199601240
Published online May 2012 | e-ISBN: 9780191738968 | DOI: http://dx.doi.org/10.1093/acprof:oso/9780199601240.003.0005

Series: Explorations in Language and Space

Semantic Annotation

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Semantic Annotation examines three annotation schemes that derive from the qualitative models discussed in Chapter 3: TimeML, SpatialML, and ISO‐Space, for time, space, and motion, respectively. For each, the authors discuss the cross‐linguistic applicability of the guidelines and the reliability of human annotation, illustrate the statistical machine learning algorithms trained on annotated corpora together with their evaluation methods and results, and assess the challenges that arise in integrating these statistical methods with the formal models and algorithms discussed in Chapter 3. The authors also discuss the key problems in producing training data of sufficient quality and quantity as well as the need for additional evaluation metrics and experimental results.

Keywords: annotated corpora; annotation guidelines; annotation reliability; annotation scheme; evaluation metrics; information extraction; ISO‐Space; motion; space; SpatialML; statistical methods; time; TimeML; training data

Chapter.  8180 words. 

Subjects: Psycholinguistics

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