Continual learning in task-oriented dialogue systems can allow us to add new domains and functionalities through time without incurring the high cost of a whole system retraining. In …
Current dialogue research primarily studies pairwise (two-party) conversations, and does not address the everyday setting where more than two speakers converse together. In this …
SM Park, YG Kim - Artificial Intelligence Review, 2023 - Springer
With the recent development of deep learning, AI models are widely used in various domains. AI models show good performance for definite tasks such as image classification …
Interactive fictions—also called text-based games—are games in which a player interacts with a virtual world purely through textual natural language. In this work, we focus on …
Interactive fictions, or text-adventures, are games in which a player interacts with a world entirely through textual descriptions and text actions. Text-adventure games are typically …
N Weir, R Thomas, R D'Amore, K Hill… - arXiv preprint arXiv …, 2022 - arxiv.org
We introduce a language generation task grounded in a popular video game environment. KNUDGE (KNowledge Constrained User-NPC Dialogue GEneration) requires models to …
PA Jansen - arXiv preprint arXiv:2107.04132, 2021 - arxiv.org
Text Worlds are virtual environments for embodied agents that, unlike 2D or 3D environments, are rendered exclusively using textual descriptions. These environments offer …
We present Spindle, a mixed initiative tool for authoring choice-based interactive fiction that targets Twine, a popular framework for text-based storygames. Twine artifacts have …
AI researchers have posited Dungeons and Dragons (D&D) as a challenge problem to test systems on various language-related capabilities. In this paper, we frame D&D specifically …