no code implementations • WS 2017 • Christopher Hidey, Elena Musi, Alyssa Hwang, Smar Muresan, a, Kathy Mckeown
Argumentative text has been analyzed both theoretically and computationally in terms of argumentative structure that consists of argument components (e. g., claims, premises) and their argumentative relations (e. g., support, attack).
no code implementations • 8 Jun 2018 • Elena Musi, Debanjan Ghosh, Smaranda Muresan
Drawing from a theoretically-informed typology of concessions, we conduct an annotation task to label a set of polysemous lexical markers as introducing an argumentative concession or not and we observe their distribution in threads that achieved and did not achieve persuasion.
1 code implementation • WS 2019 • Yanjun Gao, Alex Driban, Brennan Xavier McManus, Elena Musi, Patricia Davies, Smar Muresan, a, Rebecca J. Passonneau
We present a unique dataset of student source-based argument essays to facilitate research on the relations between content, argumentation skills, and assessment.
no code implementations • 3 Nov 2019 • Debanjan Ghosh, Elena Musi, Kartikeya Upasani, Smaranda Muresan
Human communication often involves the use of verbal irony or sarcasm, where the speakers usually mean the opposite of what they say.
no code implementations • 24 Jan 2023 • Tariq Alhindi, Tuhin Chakrabarty, Elena Musi, Smaranda Muresan
To move towards solving the fallacy recognition task, we approach these differences across datasets as multiple tasks and show how instruction-based prompting in a multitask setup based on the T5 model improves the results against approaches built for a specific dataset such as T5, BERT or GPT-3.