The DOI matches its Crossref record.
Centroid-based summarization of multiple documents
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
A Survey of the Usages of Deep Learning for Natural Language Processing
Otter, D. W., Medina, J. R., & Kalita, J. K. (2021) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2020.2979670 · Cited by 1,836
Xiang, Z., Du, Q., Ma, Y., & Fan, W. (2017) · Tourism Management · doi:10.1016/j.tourman.2016.10.001 · Cited by 1,051
Explaining anomalies detected by autoencoders using Shapley Additive Explanations
Antwarg, L., Miller, R. M., Shapira, B., & Rokach, L. (2021) · Expert Systems with Applications · doi:10.1016/j.eswa.2021.115736 · Cited by 496
(2013) · doi:10.1145/2470654.2481374 · Cited by 137
Extracting and Ranking Travel Tips from User-Generated Reviews
Guy, I., Mejer, A., Nus, A., & Raiber, F. (2017) · Proceedings of the 26th International Conference on World Wide Web · doi:10.1145/3038912.3052632 · Cited by 32
Metadata
- Authors
- Radev, D. R., Jing, H., Styś, M., & Tam, D.
- Venue
- Information Processing & Management
- Publisher
- Elsevier BV
- Published
- 2004-11
- Volume
- 40
- Issue
- 6
- Pages
- 919-938
- ISSN
- 0020-0271 (ISSN-L)
- 0306-4573
- OpenAlex
- W2148374900
- Cited by
- 1,042
- References
- 0
- FWCI
- 14.13
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Centroid-based summarization of multiple documents. https://app.cochat.ai/papers/10.1016/j.ipm.2003.10.006
- The paper
- Radev, D. R., Jing, H., Styś, M., & Tam, D. (2004). Centroid-based summarization of multiple documents. Information Processing & Management. https://doi.org/10.1016/j.ipm.2003.10.006
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.
