3 citations · 6 across the 6 of their papers we have counts for
6 papers
OpenDebateEvidence: A Massive-Scale Argument Mining and Summarization Dataset
Allen Roush, Yusuf Shabazz, Arvind Balaji +7
We introduce OpenDebateEvidence, a comprehensive dataset for argument mining and summarization sourced from the American Competitive Debate community. This dataset includes over 3.…
LLM as an Art Director (LaDi): Using LLMs to improve Text-to-Media Generators
Allen Roush, Emil Zakirov, Artemiy Shirokov +7
Recent advancements in text-to-image generation have revolutionized numerous fields, including art and cinema, by automating the generation of high-quality, context-aware images an…
DebateKG: Automatic Policy Debate Case Creation with Semantic Knowledge Graphs
Allen Roush, David Mezzetti
Recent work within the Argument Mining community has shown the applicability of Natural Language Processing systems for solving problems found within competitive debate. One of the…
Most Language Models can be Poets too: An AI Writing Assistant and Constrained Text Generation Studio
Allen Roush, Sanjay Basu, Akshay Moorthy +1
Despite rapid advancement in the field of Constrained Natural Language Generation, little time has been spent on exploring the potential of language models which have had their voc…
CX DB8: A queryable extractive summarizer and semantic search engine
Allen Roush
Competitive Debate's increasingly technical nature has left competitors looking for tools to accelerate evidence production. We find that the unique type of extractive summarizatio…
DebateSum: A large-scale argument mining and summarization dataset
Allen Roush, Arvind Balaji
Prior work in Argument Mining frequently alludes to its potential applications in automatic debating systems. Despite this focus, almost no datasets or models exist which apply nat…