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Using lexical chains for text summarization
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Citations
Cited by
Extracting paraphrases from a parallel corpus
Barzilay, R., & McKeown, K. R. (2001) · Proceedings of the 39th Annual Meeting on Association for Computational Linguistics - ACL '01 · doi:10.3115/1073012.1073020 · Cited by 470
Self-citationSummarizing text documents: sentence selection and evaluation metrics
Goldstein, J., Kantrowitz, M., Mittal, V., & Carbonell, J. (1999) · Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval · doi:10.1145/312624.312665 · Cited by 462
Benchmarking Large Language Models for News Summarization
Zhang, T., Ladhak, F., Durmus, E., Liang, P., McKeown, K., & Hashimoto, T. B. (2024) · Transactions of the Association for Computational Linguistics · doi:10.1162/tacl_a_00632 · Cited by 415
Benchmarking Large Language Models for News Summarization
Zhang, T., Ladhak, F., Durmus, E., Liang, P., McKeown, K., & Hashimoto, T. B. (2023) · arXiv · doi:10.48550/arxiv.2301.13848 · Cited by 415
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
- Barzilay, R., & Elhadad, M.
- Published
- 1997-01-01
- OpenAlex
- W1573514622
- Cited by
- 855
- References
- 0
- FWCI
- 22.82
- Type
- journal article
- Language
- en
- Open access
- green
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.
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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: Using lexical chains for text summarization. https://app.cochat.ai/papers/10.7916/d85b09vz
- The paper
- Barzilay, R., & Elhadad, M. (1997). Using lexical chains for text summarization. https://doi.org/10.7916/d85b09vz
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.
