The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Data-Driven Detection of General Chiasmi Using Lexical and Semantic Features
Open accessAbstract
Felix Schneider, Björn Barz, Phillip Brandes, Sophie Marshall, Joachim Denzler. Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature. 2021.
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“whereas previous work has focused only on fine-grained, intra-line chiasmus in English or German.”
From Computational Discovery of Chiasmus in Ancient Religious Text (2025) · cites this paper as Schneider et al., 2021
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“whereas previous work has focused only on fine-grained, intra-line chiasmus in English or German.”
From Computational Discovery of Chiasmus in Ancient Religious Text (2025) · cites this paper as Schneider et al. (2021)
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“This approach is supported by recent work in rhetorical device detection (Schneider et al., 2021)”
From Computational Discovery of Chiasmus in Ancient Religious Text (2025) · cites this paper as Schneider et al., 2021
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Citations
Cites
Efficient Estimation of Word Representations in Vector Space
Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013) · arXiv · doi:10.48550/arxiv.1301.3781 · Cited by 26,568
Enriching Word Vectors with Subword Information
Bojanowski, P., Grave, E., Joulin, A., & Mikolov, T. (2017) · Transactions of the Association for Computational Linguistics · doi:10.1162/tacl_a_00051 · Cited by 9,645
A vector space model for automatic indexing
Salton, G., Wong, A., & Yang, C. S. (1975) · Communications of the ACM · doi:10.1145/361219.361220 · Cited by 7,521
The Stanford CoreNLP Natural Language Processing Toolkit
Manning, C., Surdeanu, M., Bauer, J., Finkel, J., Bethard, S., & McClosky, D. (2014) · Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations · doi:10.3115/v1/p14-5010 · Cited by 7,037
Delta: A Measure of Stylistic Difference and a Guide to Likely Authorship
Burrows, J. (2002) · Literary and Linguistic Computing · doi:10.1093/llc/17.3.267 · Cited by 627
Programmable Corpora: Introducing DraCor, an Infrastructure for the Research on European Drama
Fischer, F., Börner, I., Göbel, M., Hechtl, A., Kittel, C., Milling, C., & Trilcke, P. (2019) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.4284001 · Cited by 84
Rhetorical Figure Detection: Chiasmus, Epanaphora, Epiphora
Dubremetz, M., & Nivre, J. (2018) · Frontiers in Digital Humanities · doi:10.3389/fdigh.2018.00010 · Cited by 27
Harnessing rhetorical figures for argument mining
Lawrence, J. S., Visser, J., & Reed, C. (2017) · Argument & Computation · doi:10.3233/aac-170026 · Cited by 21
Ontological representations of rhetorical figures for argument mining
Mitrović, J., O’Reilly, C., Mladenović, M., & Handschuh, S. (2017) · Argument & Computation · doi:10.3233/aac-170027 · Cited by 20
Pasanek, B., & Sculley, D. (2008) · Literary and Linguistic Computing · doi:10.1093/llc/fqn010 · Cited by 18
Research works printed but not linked: 2
- Friedrich Michael Dimpel, Victoria Gutsche, and René Wundke. 2016. Problematische Autorschaft. Zu er- sten Anwendungsversuchen stilometrischer Metho- den im Rahmen der Edition der Deutschen Politis- chen Schriften Zincgrefs. Magazin für digitale Edi- tionswissenschaften, 2:23-32.
- Fotis Jannidis. 2014. Der Autor ganz nah -Autorstil in Stilistik und Stilometrie, in Theorien und Praktiken der Autorschaft, pages 169-195. de Gruyter, Berlin.
Cited by
Computational Discovery of Chiasmus in Ancient Religious Text
McGovern, H., Sirin, H., & Lippincott, T. (2025) · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers) · doi:10.18653/v1/2025.naacl-short.13 · Cited by 2
Computational Discovery of Chiasmus in Ancient Religious Text
McGovern, H., Sirin, H., & Lippincott, T. (2025) · arXiv · doi:10.48550/arxiv.2501.10739
Metadata
- Authors
- Schneider, F., Barz, B., Brandes, P., Marshall, S., & Denzler, J.
- Affiliations
- Friedrich Schiller University Jena (DE)
- Venue
- Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
- Published
- 2021
- Pages
- 96-100
- OpenAlex
- W3211663339
- Cited by
- 3
- References
- 15
- Citations by year
- 2026: 1 · 2023: 2
- FWCI
- 7.69
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL) (publishedVersion, cc-by)
- Topics
- Social Sciences › Arts and Humanities › Literature and Literary Theory › Digital Humanities and Scholarship
- Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Keywords
- chiasm, rhetorical devices, rhetorical patterns, text mining, lexical features, semantic features, data-driven detection
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- The paper
- Schneider, F., Barz, B., Brandes, P., Marshall, S., & Denzler, J. (2021). Data-Driven Detection of General Chiasmi Using Lexical and Semantic Features. Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature. https://doi.org/10.18653/v1/2021.latechclfl-1.11
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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.
