Latest News in Computational Argumentation: Surfing on the Deep Learning Wave, Scuba Diving in the Abyss of Fundamental Questions

• Autores: Iryna Gurevych
• Localización: 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis WASSA 2017: Proceedings of the Workshop / Alexandra Balahur Dobrescu (ed. lit.), Saif M. Mohammad (ed. lit.), Erik van der Goot (ed. lit.), 2017, ISBN 978-1-945626-95-1, pág. 66
• Idioma: inglés
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• Resumen

  • Mining arguments from natural language texts, parsing argumentative structures, and assessing ar- gument quality are among the recent challenges tackled in computational argumentation. While ad- vanced deep learning models provide state-of-the- art performance in many of these tasks, much at- tention is also paid to the underlying fundamental questions. How are arguments expressed in natural language across genres and domains? What is the essence of an argument's claim? Can we reliably annotate convincingness of an argument? How can we approach logic and common-sense reasoning in argumentation? This talk highlights some recent advances in computational argumentation and shows why researchers must be both "surfers" and "scuba divers".