The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Multi-paragraph segmentation of expository text
Open accessAbstract
This paper describes TextTiling, an algorithm for partitioning expository texts into coherent multi-paragraph discourse units which reflect the subtopic structure of the texts. The algorithm uses domain-independent lexical frequency and distribution information to recognize the interactions of multiple simultaneous themes. Two fully-implemented versions of the algorithm are described and shown to produce segmentation that corresponds well to human judgments of the major subtopic boundaries of thirteen lengthy texts.
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Cites
THE COMPARISON OF PERCENTAGES IN MATCHED SAMPLES
COCHRAN, W. G. (1950) · Biometrika · doi:10.1093/biomet/37.3-4.256 · Cited by 1,465
Cited by
Topic Detection and Tracking Pilot Study Final Report
Allan, J., Carbonell, J., Doddington, G. R., Yamron, J., & Yang, Y. (2018) · doi:10.1184/r1/6626252.v1 · Cited by 939
TileBars: visualization of term distribution information in full text information access
Hearst, M. A. (1995) · Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '95 · doi:10.1145/223904.223912 · Cited by 555
Self-citationDiscourse Segmentation of Multi-Party Conversation
Galley, M., McKeown, K., Fosler-Lussier, E., & Jing, H. (2003) · Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - ACL '03 · doi:10.3115/1075096.1075167 · Cited by 351
Text Segmentation as a Supervised Learning Task
Koshorek, O., Cohen, A., Mor, N., Rotman, M., & Berant, J. (2018) · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers) · doi:10.18653/v1/n18-2075 · Cited by 167
Metadata
- Authors
- Hearst, M. A.
- Venue
- Proceedings of the 32nd annual meeting on Association for Computational Linguistics -
- Published
- 1994
- Pages
- 9-16
- OpenAlex
- W2100873065
- Cited by
- 584
- References
- 1
- FWCI
- 18.73
- Type
- conference paper
- Language
- en
- Open access
- bronze
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
