16 citations · 42 across the 6 of their papers we have counts for
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cs.CL2021
DeepA2: A Modular Framework for Deep Argument Analysis with Pretrained Neural Text2Text Language Models
Gregor Betz, Kyle Richardson
In this paper, we present and implement a multi-dimensional, modular framework for performing deep argument analysis (DeepA2) using current pre-trained language models (PTLMs). Arg…
cs.CL2021★ 13 cited
Natural-Language Multi-Agent Simulations of Argumentative Opinion Dynamics
Gregor Betz
This paper develops a natural-language agent-based model of argumentation (ABMA). Its artificial deliberative agents (ADAs) are constructed with the help of so-called neural langua…
cs.CL2021★ 16 cited
Thinking Aloud: Dynamic Context Generation Improves Zero-Shot Reasoning Performance of GPT-2
Gregor Betz, Kyle Richardson, Christian Voigt
Thinking aloud is an effective meta-cognitive strategy human reasoners apply to solve difficult problems. We suggest to improve the reasoning ability of pre-trained neural language…