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Research Articles

Argument mining from Amharic argumentative texts using machine learning approach

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References

  • Ahuja, Yashima, and Sumit Kumar Yadav. 2012. “Multiclass Classification and Support Vector Machine.” Global Journal of Computer Science and Technology Interdisciplinary 12 (11): 14–20.
  • Arkanath, P., G. Pawan, and B. Plaban. 2016. “A Two-Phase Approach Towards Identifying Argument Structure in Natural Language.” Proceedings of the 3rd workshop on natural language processing techniques for educational applications, 11–19. Osaka, Japan, December 12.
  • Bentahar, Jamal, Bernard, Moulin, and Micheline Bélanger. 2010. “A Taxonomy of Argumentation Models Used for Knowledge Representation.” Artificial Intelligence Review 33 (3): 211–259. doi:10.1007/s10462-010-9154-1
  • Budzynska, Katarzyna, and Serena Villata. 2016. “Argument Mining.” IEEE Intelligent Informatics Bulletin 17 (1): 1–6.
  • Cabrio, Elena, and Serena Villata. 2018. “Five Years of Argument Mining: A Data-Driven Analysis.” In IJCAI, 5427–5433.
  • Dey, Ayon. 2016. “Machine Learning Algorithms: A Review.” International Journal of Computer Science and Information Technologies 7 (3): 1174–1179.
  • El-Alfy, El-Sayed M., and Salahadin A. Mohammed. 2020. “A Review of Machine Learning for big Data Analytics: Bibliometric Approach.” Technology Analysis & Strategic Management 32 (8): 984–1005. doi:10.1080/09537325.2020.1732912.
  • Fekede, Menuta. 2016. “Over-differentiation in Amharic Orthography and Attitude Towards Reform.” Ethiopian Journal of Social Sciences and Language Studies 3 (1): 3–32.
  • Gasser, Michael. 2011. “HornMorpho: A System for Morphological Processing of Amharic, Oromo, and Tigrinya.” In Proceedings of Conference on Human Language Technology for Development, 94–99. 3-5 May 2011 Bibliotheca Alexandrina, Alexandria, Egypt. Available at https://dokumen.tips/documents/conference-on-human-language-technology-for-development-for-development.html?page=1.
  • Gobena, Markos. 2010. “Implementing an Open Source Amharic Resource Grammar in GF.”
  • Green, Nancy L. 2017. “Argumentation Mining in Scientific Discourse.” In CMNA@ ICAIL, 7–13.
  • Habernal, Gurevych. 2015. “Exploiting Debate Portals for Semi-Supervised Argumentation Mining in User-Generated web Discourse.” Conference on empirical methods in natural language processing (EMNLP), pp. 2127–2137. Association for Computational Linguistics.
  • Habernal, Ivan, Eckle-Kohler Judith, and Iryna Gurevych. 2014. “Argumentation Mining on the Web from Information Seeking Perspective.” In ArgNLP.
  • Jurafsky, Dan, and James H. Martin. 2014. Speech and Language Processing, 2nd ed. Hoboken, NJ: Pearson Education.
  • Kumilachew, A., M. Lake, and D. Tesfaye. 2022. “Argument Mining from Amharic Argumentative Texts Using Machine Learning Approach.” In Proceeding of the 2nd deep learning indaba-X Ethiopia conference 2021. xxx
  • Lawrence, John, and Chris Reed. 2017. “Mining Argumentative Structure from Natural Language Text Using Automatically Generated Premise-Conclusion Topic Models.” In Proceedings of the 4th workshop on argument mining, 39–48.
  • Lippi, Marco, and Paolo Torroni. 2015. “Argument Mining: A Machine Learning Perspective.” In International Workshop on Theory and Applications of Formal Argumentation, edited by E. Black, S. Modgil, and N. Oren, 163–176. Cham: Springer. doi:10.1007/978-3-319-28460-6_10.
  • Lippi, Marco, and Paolo Torroni. 2016. “Argumentation Mining: State of the art and Emerging Trends.” ACM Transactions on Internet Technology (TOIT) 16 (2): 1–25. doi:10.1145/2850417.
  • Llewellyn, Clare. 2012. “Using Argument Analysis to Define a Structure for User Generated Content.” Joint conference on digital Libraries.
  • Mayer, T., E. Cabrio, M. Lippi, P. Torroni, and S. Villata. 2018. “Argument Mining on Clinical Trials.” In COMMA, 137–148.
  • Mochales, Raquel, and Marie-Francine Moens. 2011. “Argumentation Mining.” Artificial Intelligence and Law 19 (1): 1–22. doi:10.1007/s10506-010-9104-x.
  • Nguyen, H. V., and D. J. Litman. 2016. “Context-aware Argumentative Relation Mining.” In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 1127–1137, Berlin, Germany, August 7-12, 2016. doi:10.18653/v1/P16-1107.
  • Nureni, Ayofe Azeez, Ahmed Oladapo Lawal, Sanjay Misra, and Jonathan Oluranti. 2022. “Machine Learning Approach for Identifying Suspicious Uniform Resource Locators (URLs) on Reddit Social Network.” African Journal of Science, Technology, Innovation and Development 14 (6): 1618–1626. DOI: 10.1080/20421338.2021.1977087.
  • Peldszus, Andreas, and Manfred Stede. 2013. “From Argument Diagrams to Argumentation Mining in Texts: A Survey.” International Journal of Cognitive Informatics and Natural Intelligence (IJCINI) 7 (1): 1–31. doi:10.4018/jcini.2013010101.
  • Pellegrini, Thomas, and Lori Lamel. 2009. “Automatic Word Decompounding for asr in a Morphologically Rich Language: Application to Amharic.” IEEE Transactions on Audio, Speech, and Language Processing 17 (5): 863–873. doi:10.1109/TASL.2009.2022295.
  • Pierpaolo, Valerio, and Serena Elena. 2016. “Argument Mining on Italian News Blogs.” Third Italian conference on computational linguistics, Naples, Italy.
  • Sathya, R., and Manama Abraham. 2013. “Comparison of Supervised and Unsupervised Learning Algorithms for Pattern Classification.” International Journal of Advanced Research in Artificial Intelligence 2 (2): 34–38. doi:10.14569/IJARAI.2013.020206.
  • Thomas, M., K. Chen, G. Corrado, and J. Dean. 2013. “Efficient Estimation of Word Representations in Vector Space.” arXiv preprint arXiv:1301.3781.
  • Toulmin, Stephen E. 2003. The Uses of Argument. Cambridge: Cambridge University Press. doi:10.1017/CBO9780511840005.
  • Walton, Douglas, Christopher Reed, and Fabrizio Macagno. 2008. Argumentation Schemes. Cambridge: Cambridge University Press. doi:10.1017/CBO9780511802034.

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