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20162021
most citedExpanding Explainability: Towards Social Transparency in AI systems

497 citations · 775 across the 21 of their papers we have counts for

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10 papers · 1 filter

cs.CL20211 cited

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…

cs.CL2021

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…

cs.CL20202 cited

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…

cs.CL2020

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…

cs.CL2020

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…

cs.CL2019

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…