536 citations · 2k across the 52 of their papers we have counts for
14 papers · 1 filter
Ambient Adventures: Teaching ChatGPT on Developing Complex Stories
Zexin Chen, Eric Zhou, Kenneth Eaton +2
Imaginative play is an area of creativity that could allow robots to engage with the world around them in a much more personified way. Imaginary play can be seen as taking real obj…
Modeling Worlds in Text
Prithviraj Ammanabrolu, Mark O. Riedl
We provide a dataset that enables the creation of learning agents that can build knowledge graph-based world models of interactive narratives. Interactive narratives -- or text-adv…
Telling Stories through Multi-User Dialogue by Modeling Character Relations
Wai Man Si, Prithviraj Ammanabrolu, Mark O. Riedl
This paper explores character-driven story continuation, in which the story emerges through characters' first- and second-person narration as well as dialogue -- requiring models t…
Weird AI Yankovic: Generating Parody Lyrics
Mark Riedl
Lyrics parody swaps one set of words that accompany a melody with a new set of words, preserving the number of syllables per line and the rhyme scheme. Lyrics parody generation is…
Automated Storytelling via Causal, Commonsense Plot Ordering
Prithviraj Ammanabrolu, Wesley Cheung, William Broniec +1
Automated story plot generation is the task of generating a coherent sequence of plot events. Causal relations between plot events are believed to increase the perception of story…
Reducing Non-Normative Text Generation from Language Models
Xiangyu Peng, Siyan Li, Spencer Frazier +1
Large-scale, transformer-based language models such as GPT-2 are pretrained on diverse corpora scraped from the internet. Consequently, they are prone to generating non-normative t…
Automated Let's Play Commentary
Shukan Shah, Matthew Guzdial, Mark O. Riedl
Let's Plays of video games represent a relatively unexplored area for experimental AI in games. In this short paper, we discuss an approach to generate automated commentary for Let…
Toward Automated Quest Generation in Text-Adventure Games
Prithviraj Ammanabrolu, William Broniec, Alex Mueller +2
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 typica…
Story Realization: Expanding Plot Events into Sentences
Prithviraj Ammanabrolu, Ethan Tien, Wesley Cheung +4
Neural network based approaches to automated story plot generation attempt to learn how to generate novel plots from a corpus of natural language plot summaries. Prior work has sho…
Transfer in Deep Reinforcement Learning using Knowledge Graphs
Prithviraj Ammanabrolu, Mark O. Riedl
Text adventure games, in which players must make sense of the world through text descriptions and declare actions through text descriptions, provide a stepping stone toward groundi…
Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning
Prithviraj Ammanabrolu, Mark O. Riedl
Text-based adventure games provide a platform on which to explore reinforcement learning in the context of a combinatorial action space, such as natural language. We present a deep…
Controllable Neural Story Plot Generation via Reward Shaping
Pradyumna Tambwekar, Murtaza Dhuliawala, Lara J. Martin +3
Language-modeling--based approaches to story plot generation attempt to construct a plot by sampling from a language model (LM) to predict the next character, word, or sentence to…
A Simple and Effective Approach to the Story Cloze Test
Siddarth Srinivasan, Richa Arora, Mark Riedl
In the Story Cloze Test, a system is presented with a 4-sentence prompt to a story, and must determine which one of two potential endings is the 'right' ending to the story. Previo…
Event Representations for Automated Story Generation with Deep Neural Nets
Lara J. Martin, Prithviraj Ammanabrolu, Xinyu Wang +4
Automated story generation is the problem of automatically selecting a sequence of events, actions, or words that can be told as a story. We seek to develop a system that can gener…