Abstract
An important aspect of discourse understanding and generation involves the recognition and processing of discourse relations. These are conveyed by discourse connectives, i.e., lexical items like because and as a result or implicit connectives expressing an inferred discourse relation. The Penn Discourse TreeBank (PDTB) provides annotations of the argument structure, attribution and semantics of discourse connectives. In this paper, we provide the rationale of the tagset, detailed descriptions of the senses with corpus examples, simple semantic definitions of each type of sense tags as well as informal descriptions of the inferences allowed at each level. © 2008 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Miltsakaki, E., Robaldo, L., Lee, A., & Joshi, A. (2008). Sense annotation in the penn discourse treebank. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4919 LNCS, pp. 275–286). https://doi.org/10.1007/978-3-540-78135-6_23
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