The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Building a Discourse-Tagged Corpus in the Framework of Rhetorical Structure Theory
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Citations
Cites
Content Analysis: An Introduction to its Methodology.
Shelley, M., & Krippendorff, K. (1984) · Journal of the American Statistical Association · doi:10.2307/2288384 · Cited by 24,312
A simplest systematics for the organization of turn-taking for conversation
Sacks, H., Schegloff, E. A., & Jefferson, G. (1974) · Language · doi:10.2307/412243 · Cited by 11,350
Nonparametric Statistics for the Behavioral Sciences.
Whitfield, J. W., & Siegel, S. (1957) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2342828 · Cited by 7,947
Strategies of Discourse Comprehension
Staczek, J. J., van Dijk, T. A., & Kintsch, W. (1985) · The Modern Language Journal · doi:10.2307/326517 · Cited by 5,395
Rhetorical Structure Theory: Toward a functional theory of text organization
MANN, W. C., & THOMPSON, S. A. (1988) · Text - Interdisciplinary Journal for the Study of Discourse · doi:10.1515/text.1.1988.8.3.243 · Cited by 3,853
Schiffrin, D. (1987) · Cambridge University Press eBooks · doi:10.1017/cbo9780511611841 · Cited by 2,810
Corpus Linguistics: Investigating Language Structure and Use
Biber, D., Conrad, S., & Reppen, R. (1998) · Cambridge University Press eBooks · doi:10.1017/cbo9780511804489 · Cited by 1,499
English Text: System and structure
Martin, J. R. (1992) · John Benjamins Publishing Company eBooks · doi:10.1075/z.59 · Cited by 1,451
Popowich, F. (1999) · Wiley Encyclopedia of Electrical and Electronics Engineering · doi:10.1002/047134608x.w6910 · Cited by 834
Grimes, J. E. (1975) · De Gruyter eBooks · doi:10.1515/9783110886474 · Cited by 792
Cited by
An unsupervised approach to recognizing discourse relations
Marcu, D., & Echihabi, A. (2001) · Proceedings of the 40th Annual Meeting on Association for Computational Linguistics - ACL '02 · doi:10.3115/1073083.1073145 · Cited by 382
Self-citationRevisiting readability: a unified framework for predicting text quality
Pitler, E., & Nenkova, A. (2008) · Proceedings of the Conference on Empirical Methods in Natural Language Processing - EMNLP '08 · doi:10.3115/1613715.1613742 · Cited by 375
Identifying Argumentative Discourse Structures in Persuasive Essays
Stab, C., & Gurevych, I. (2014) · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.3115/v1/d14-1006 · Cited by 363
From Argument Diagrams to Argumentation Mining in Texts: A Survey
Peldszus, A., & Stede, M. (2013) · International Journal of Cognitive Informatics and Natural Intelligence · doi:10.4018/jcini.2013010101 · Cited by 276
Metadata
- Authors
- Carlson, L., Marcu, D., & Okurowski, M. E.
- Venue
- Text, Speech and Language Technology
- Publisher
- Springer Netherlands
- Published
- 2003
- Pages
- 85-112
- ISSN
- 1386-291X (ISSN-L)
- OpenAlex
- W4250641076
- Cited by
- 298
- References
- 23
- FWCI
- 8.59
- Type
- book chapter
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: Building a Discourse-Tagged Corpus in the Framework of Rhetorical Structure Theory. https://app.cochat.ai/papers/10.1007/978-94-010-0019-2_5
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- Carlson, L., Marcu, D., & Okurowski, M. E. (2003). Building a Discourse-Tagged Corpus in the Framework of Rhetorical Structure Theory. Text, Speech and Language Technology. https://doi.org/10.1007/978-94-010-0019-2_5
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.