no code implementations • 25 Feb 2024 • Rayen Dhahri, Alexander Immer, Betrand Charpentier, Stephan Günnemann, Vincent Fortuin
Neural network sparsification is a promising avenue to save computational time and memory costs, especially in an age where many successful AI models are becoming too large to na\"ively deploy on consumer hardware.
no code implementations • 23 Dec 2022 • Oren Sultan, Rayen Dhahri, Yauheni Mardan, Tobias Eder, Georg Groh
Key Point Analysis(KPA) is a relatively new task in NLP that combines summarization and classification by extracting argumentative key points (KPs) for a topic from a collection of texts and categorizing their closeness to the different arguments.
