The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Automatic condensation of electronic publications by sentence selection
Overview
The claims and statistics of this paper haven’t been checked yet.
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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
Cites
Introduction to Modern Information Retrieval
Salton, G., & McGill, M. J. (1983) · Virtual Defense Library (Ministerio de Defensa) · Cited by 9,680
Introduction to modern information retrieval
Dillon, M. (1983) · Information Processing & Management · doi:10.1016/0306-4573(83)90062-6 · Cited by 5,909
The Automatic Creation of Literature Abstracts
Luhn, H. P. (1958) · IBM Journal of Research and Development · doi:10.1147/rd.22.0159 · Cited by 3,246
Constructing literature abstracts by computer: Techniques and prospects
Paice, C. D. (1990) · Information Processing & Management · doi:10.1016/0306-4573(90)90014-s · Cited by 381
Information extraction and text summarization using linguistic knowledge acquisition
Rau, L. F., Jacobs, P. S., & Zernik, U. (1989) · Information Processing & Management · doi:10.1016/0306-4573(89)90069-1 · Cited by 133
Self-citationRath, G., Resnick, A., & Savage, T. R. (1961) · American Documentation · doi:10.1002/asi.5090120210 · Cited by 121
The Effects and Limitations of Automated Text Condensing on Reading Comprehension Performance
Morris, A. H., Kasper, G. M., & Adams, D. A. (1992) · Information Systems Research · doi:10.1287/isre.3.1.17 · Cited by 114
Problems in automatic abstracting
Edmundson, H. P. (1964) · Communications of the ACM · doi:10.1145/364005.364088 · Cited by 41
Cited by
A Survey of Text Summarization Extractive Techniques
Gupta, V., & Lehal, G. S. (2010) · Journal of Emerging Technologies in Web Intelligence · doi:10.4304/jetwi.2.3.258-268 · Cited by 616
Advantages of query biased summaries in information retrieval
Tombros, A., & Sanderson, M. (1998) · Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval · doi:10.1145/290941.290947 · Cited by 241
An annotation scheme for discourse-level argumentation in research articles
Teufel, S., Carletta, J., & Moens, M. (1999) · Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics - · doi:10.3115/977035.977051 · Cited by 186
Fast generation of abstracts from general domain text corpora by extracting relevant sentences
Zechner, K. (1996) · Proceedings of the 16th conference on Computational linguistics - · doi:10.3115/993268.993338 · Cited by 107
A semantic graph-based approach to biomedical summarisation
Plaza, L., Díaz, A., & Gervás, P. (2011) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2011.06.005 · Cited by 83
Metadata
- Authors
- Brandow, R., Mitze, K., & Rau, L. F.
- Venue
- Information Processing & Management
- Publisher
- Elsevier BV
- Published
- 1995-09
- Volume
- 31
- Issue
- 5
- Pages
- 675-685
- ISSN
- 0020-0271 (ISSN-L)
- 0306-4573
- OpenAlex
- W2158291389
- Cited by
- 363
- References
- 8
- FWCI
- 9.10
- 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: Automatic condensation of electronic publications by sentence selection. https://app.cochat.ai/papers/10.1016/0306-4573(95)00052-i
- The paper
- Brandow, R., Mitze, K., & Rau, L. F. (1995). Automatic condensation of electronic publications by sentence selection. Information Processing & Management. https://doi.org/10.1016/0306-4573(95)00052-i
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.