The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
From Argument Diagrams to Argumentation Mining in Texts: A Survey
Abstract
In this paper, the authors consider argument mining as the task of building a formal representation for an argumentative piece of text. Their goal is to provide a critical survey of the literature on both the resulting representations (i.e., argument diagramming techniques) and on the various aspects of the automatic analysis process. For representation, the authors also provide a synthesized proposal of a scheme that combines advantages from several of the earlier approaches; in addition, the authors discuss the relationship between representing argument structure and the rhetorical structure of texts in the sense of Mann and Thompsons (1988) RST. Then, for the argument mining problem, the authors also cover the literature on closely-related tasks that have been tackled in Computational Linguistics, because they think that these can contribute to more powerful argument mining systems than the first prototypes that were built in recent years. The paper concludes with the authors’ suggestions for the major challenges that should be addressed in the field of argument mining.
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Cites
Toulmin, S. E. (2003) · doi:10.1017/cbo9780511840005 · Cited by 7,101
Dung, P. M. (1995) · Artificial Intelligence · doi:10.1016/0004-3702(94)00041-x · Cited by 4,270
Rhetorical Structure Theory: Toward a functional theory of text organization
MANN, W. C., & THOMPSON, S. A. (1988) · Text - Interdisciplinary Journal for the Study of Discourse · doi:10.1515/text.1.1988.8.3.243 · Cited by 3,853
Walton, D., Reed, C., & Macagno, F. (2008) · Cambridge University Press eBooks · doi:10.1017/cbo9780511802034 · Cited by 1,372
Asher, N. M., & Lascarides, A. (2003) · HAL · Cited by 1,115
A systematic theory of argumentation : the pragma-dialectical approach.
van Eemeren, F. H., & Grootendorst, R. (2004) · UvA-DARE (University of Amsterdam) · Cited by 838
Govier, T. (1985) · Cited by 704
Summarizing Scientific Articles: Experiments with Relevance and Rhetorical Status
Teufel, S., & Moens, M. (2002) · Computational Linguistics · doi:10.1162/089120102762671936 · Cited by 638
The Theory and Practice of Discourse Parsing and Summarization
Marcu, D. (2000) · The MIT Press eBooks · doi:10.7551/mitpress/6754.001.0001 · Cited by 620
Building a discourse-tagged corpus in the framework of Rhetorical Structure Theory
Carlson, L., Marcu, D., & Okurowski, M. E. (2001) · Proceedings of the Second SIGdial Workshop on Discourse and Dialogue - · doi:10.3115/1118078.1118083 · Cited by 584
Cited by
Lawrence, J., & Reed, C. (2020) · Computational Linguistics · doi:10.1162/coli_a_00364 · Cited by 396
Identifying Argumentative Discourse Structures in Persuasive Essays
Stab, C., & Gurevych, I. (2014) · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.3115/v1/d14-1006 · Cited by 363
Argumentation Mining: State of the Art and Emerging Trends
Lippi, M., & Torroni, P. (2016) · ACM Transactions on Internet Technology · doi:10.1145/2850417 · Cited by 363
Argument Mining for Understanding Peer Reviews
Hua, X., Nikolov, M., Badugu, N., & Wang, L. (2019) · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · doi:10.18653/v1/n19-1219 · Cited by 86
Automatic argument assessment of final project reports of computer engineering students
García‐Gorrostieta, J. M., López‐López, A., & González‐López, S. (2018) · Computer Applications in Engineering Education · doi:10.1002/cae.21996 · Cited by 42
Metadata
- Authors
- Peldszus, A., & Stede, M.
- Venue
- International Journal of Cognitive Informatics and Natural Intelligence
- Publisher
- IGI Global
- Published
- 2013-01-01
- Volume
- 7
- Issue
- 1
- Pages
- 1-31
- ISSN
- 1557-3958 (ISSN-L)
- 1557-3966
- OpenAlex
- W2066288042
- Cited by
- 276
- References
- 37
- FWCI
- 145.93
- Type
- journal article
- Language
- ng
- Open access
- closed
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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.
