The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Statistical Models for Text Segmentation
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Cites
Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (2003) · doi:10.1201/9780429258480 · Cited by 27,276
Classification And Regression Trees
Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (2017) · doi:10.1201/9781315139470 · Cited by 11,417
Cited by
Inter-Coder Agreement for Computational Linguistics
Artstein, R., & Poesio, M. (2008) · Computational Linguistics · doi:10.1162/coli.07-034-r2 · Cited by 1,665
Discourse 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
Large Language Models in Mental Health Care: A Scoping Review
Hua, Y., Liu, F., Yang, K., Li, Z., Na, H., Sheu, Y.-H., Zhou, P., Moran, L. V., Ananiadou, S., Clifton, D. A., et al. (2025) · Current Treatment Options in Psychiatry · doi:10.1007/s40501-025-00363-y · Cited by 92
SECTOR: A Neural Model for Coherent Topic Segmentation and Classification
Arnold, S., Schneider, R., Cudré-Mauroux, P., Gers, F. A., & Löser, A. (2019) · Transactions of the Association for Computational Linguistics · doi:10.1162/tacl_a_00261 · Cited by 85
Text Segmentation by Cross Segment Attention
Lukasik, M., Dadachev, B., Papineni, K., & Simões, G. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/2020.emnlp-main.380 · Cited by 68
Chung, G. Y.-C. (2009) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2008.12.011 · Cited by 34
SEA: Segment-enrich-annotate paradigm for adapting dialog-based content for improved accessibility
Candan, K. S., Dönderler, M. E., Hedgpeth, T., Kim, J. W., Li, Q., & Sapino, M. L. (2009) · ACM Transactions on Information Systems · doi:10.1145/1508850.1508853 · Cited by 8
OpenPSS: An Open Page Stream Segmentation Benchmark
Heusden, R. V., Kamps, J., & Marx, M. (2024) · Lecture Notes in Computer Science · doi:10.1007/978-3-031-72437-4_24 · Cited by 3
Using Deep-Learned Vector Representations for Page Stream Segmentation by Agglomerative Clustering
Busch, L., van Heusden, R., & Marx, M. (2023) · Algorithms · doi:10.3390/a16050259 · Cited by 1
Metadata
- Authors
- Beeferman, D., Berger, A., & Lafferty, J.
- Venue
- Machine Learning
- Published
- 1999-02
- Volume
- 34
- Issue
- 1-3
- Pages
- 177-210
- ISSN
- 0885-6125 (ISSN-L)
- 1573-0565
- OpenAlex
- W1557074680
- Cited by
- 680
- References
- 2
- FWCI
- 19.53
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
