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
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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
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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)
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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
Automated Annotation and Visualization of Rhetorical Figures
Gawryjołek, J. (2009) · UWSpace (University of Waterloo) · Cited by 17
Rhetorical Figure Detection: the Case of Chiasmus
Dubremetz, M., & Nivre, J. (2015) · Proceedings of the Fourth Workshop on Computational Linguistics for Literature · doi:10.3115/v1/w15-0703 · Cited by 16
du Mont, F. M., Dumas, A., & Lindquist, L. (1932) · Modern Language Journal · doi:10.2307/314548 · Cited by 14
Machine Learning for Rhetorical Figure Detection: More Chiasmus with Less Annotation
Dubremetz, M., & Nivre, J. (2017) · DSpace repository (University of Tartu) · Cited by 9
Characterization of Prose by Rhetorical Structure for Machine Learning Classification
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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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