Annotation graphs as a framework for multidimensional linguistic data analysis

dc.creatorBird, Steven
dc.creatorLiberman, Mark
dc.date1999-07-05
dc.date.accessioned2026-07-07T03:24:12Z
dc.date.available2026-07-07T03:24:12Z
dc.descriptionIn recent work we have presented a formal framework for linguistic annotation based on labeled acyclic digraphs. These `annotation graphs' offer a simple yet powerful method for representing complex annotation structures incorporating hierarchy and overlap. Here, we motivate and illustrate our approach using discourse-level annotations of text and speech data drawn from the CALLHOME, COCONUT, MUC-7, DAMSL and TRAINS annotation schemes. With the help of domain specialists, we have constructed a hybrid multi-level annotation for a fragment of the Boston University Radio Speech Corpus which includes the following levels: segment, word, breath, ToBI, Tilt, Treebank, coreference and named entity. We show how annotation graphs can represent hybrid multi-level structures which derive from a diverse set of file formats. We also show how the approach facilitates substantive comparison of multiple annotations of a single signal based on different theoretical models. The discussion shows how annotation graphs open the door to wide-ranging integration of tools, formats and corpora.
dc.description10 pages, 10 figures, Towards Standards and Tools for Discourse Tagging, Proceedings of the Workshop. pp. 1-10. Association for Computational Linguistics
dc.identifierhttps://arxiv.org/abs/cs/9907003
dc.identifierhttp://arxiv.org/abs/cs/9907003
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/33233
dc.subjectComputation and Language
dc.subjectA.1; E.2; H.2.1; H.3.3; H.3.7; I.2.7
dc.titleAnnotation graphs as a framework for multidimensional linguistic data analysis
dc.typetext

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