The DOI matches its OpenAlex record; 13 of the 13 references it cites were found in a registry or an index.
Topic Detection and Tracking Pilot Study Final Report
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Citations
Cites
Automatic text processing: the transformation, analysis, and retrieval of information by computer
(1989) · Choice Reviews Online · doi:10.5860/choice.27-0351 · Cited by 3,188
A maximum entropy approach to natural language processing
Berger, A. L., Pietra, V. J. D., & Pietra, S. A. D. (1996) · doi:10.5555/234285.234289 · Cited by 3,065
Estimation of probabilities from sparse data for the language model component of a speech recognizer
Katz, S. (1987) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/tassp.1987.1165125 · Cited by 1,637
Salton, G. (1988) · Cited by 1,570
Scatter/Gather: A Cluster-based Approach to Browsing Large Document Collections
Cutting, D. R., Karger, D. R., Pedersen, J. O., & Tukey, J. W. (2017) · ACM SIGIR Forum · doi:10.1145/3130348.3130362 · Cited by 1,419
Quary Expansion Using Local and Global Document Analysis
Xu, J., & Croft, W. B. (2017) · ACM SIGIR Forum · doi:10.1145/3130348.3130364 · Cited by 1,252
Inducing features of random fields
Della Pietra, S., Della Pietra, V., & Lafferty, J. (1997) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.588021 · Cited by 1,036
Multi-paragraph segmentation of expository text
Hearst, M. A. (1994) · Proceedings of the 32nd annual meeting on Association for Computational Linguistics - · doi:10.3115/981732.981734 · Cited by 584
USING PROBABILISTIC MODELS OF DOCUMENT RETRIEVAL WITHOUT RELEVANCE INFORMATION
CROFT, W. B., & HARPER, D. J. (1979) · Journal of Documentation · doi:10.1108/eb026683 · Cited by 433
Ponte, J. M., & Croft, W. B. (1997) · Lecture Notes in Computer Science · doi:10.1007/bfb0026725 · Cited by 213
Cited by
A Survey of Outlier Detection Methodologies
Hodge, V., & Austin, J. (2004) · Artificial Intelligence Review · doi:10.1007/s10462-004-4304-y · Cited by 3,596
Content-Based Recommendation Systems
Pazzani, M. J., & Billsus, D. (2007) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-72079-9_10 · Cited by 2,600
A Fast Fixed-Point Algorithm for Independent Component Analysis of Complex Valued Signals
Bingham, E. (2000) · International Journal of Neural Systems · doi:10.1016/s0129-0657(00)00002-8 · Cited by 854
Survey of Temporal Information Retrieval and Related Applications
Campos, R., Dias, G., Jorge, A. M., & Jatowt, A. (2015) · ACM Computing Surveys · doi:10.1145/2619088 · Cited by 262
Topic Detection: Identifying Relevant Topics in Tourism Reviews
Menner, T., Höpken, W., Fuchs, M., & Lexhagen, M. (2016) · Information and Communication Technologies in Tourism 2016 · doi:10.1007/978-3-319-28231-2_30 · Cited by 35
Metadata
- Authors
- Allan, J., Carbonell, J., Doddington, G. R., Yamron, J., & Yang, Y.
- Published
- 2018-06-30
- OpenAlex
- W2135909747
- Cited by
- 939
- References
- 13
- FWCI
- 20.23
- Type
- journal article
- Language
- en
- Open access
- green
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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.
Statistics and arithmetic are recomputed, not judged.
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How to cite
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- CoChat. (2026). Citation check: Topic Detection and Tracking Pilot Study Final Report. https://app.cochat.ai/papers/10.1184/r1/6626252.v1
- The paper
- Allan, J., Carbonell, J., Doddington, G. R., Yamron, J., & Yang, Y. (2018). Topic Detection and Tracking Pilot Study Final Report. https://doi.org/10.1184/r1/6626252.v1
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.
