The DOI matches its OpenAlex record; 2 of the 2 references it cites were found in a registry or an index.
UMBC_EBIQUITY-CORE: Semantic Textual Similarity Systems
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Citations
Cites
LIBSVM: A library for support vector machines
Chang, C.-C., & Lin, C.-J. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1961189.1961199 · Cited by 40,918
WordNet: a lexical database for English
Miller, G. A. (1995) · Communications of the ACM · doi:10.1145/219717.219748 · Cited by 14,015
Cited by
Short Text Similarity with Word Embeddings
Kenter, T., & de Rijke, M. (2015) · Proceedings of the 24th ACM International on Conference on Information and Knowledge Management · doi:10.1145/2806416.2806475 · Cited by 440
An efficient framework for learning sentence representations
Logeswaran, L., & Lee, H. (2018) · arXiv · doi:10.48550/arxiv.1803.02893 · Cited by 427
Why We Need New Evaluation Metrics for NLG
Novikova, J., Dušek, O., Cercas Curry, A., & Rieser, V. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/d17-1238 · Cited by 422
Pavlick, E., Rastogi, P., Ganitkevitch, J., Van Durme, B., & Callison-Burch, C. (2015) · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers) · doi:10.3115/v1/p15-2070 · Cited by 256
Nummenmaa, L., Hari, R., Hietanen, J. K., & Glerean, E. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1807390115 · Cited by 216
Metadata
- Authors
- Han, L., Kashyap, A. L., Finin, T., Mayfield, J., & Weese, J.
- Published
- 2013-06-13
- OpenAlex
- W2251291469
- Cited by
- 311
- References
- 2
- FWCI
- 44.54
- 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: UMBC_EBIQUITY-CORE: Semantic Textual Similarity Systems. https://app.cochat.ai/papers/10.13016/m28w38626
- The paper
- Han, L., Kashyap, A. L., Finin, T., Mayfield, J., & Weese, J. (2013). UMBC_EBIQUITY-CORE: Semantic Textual Similarity Systems. https://doi.org/10.13016/m28w38626
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.
