Search Results for author: Karmanya Aggarwal

Found 3 papers, 1 papers with code

FIREBALL: A Dataset of Dungeons and Dragons Actual-Play with Structured Game State Information

1 code implementation2 May 2023 Andrew Zhu, Karmanya Aggarwal, Alexander Feng, Lara J. Martin, Chris Callison-Burch

Dungeons & Dragons (D&D) is a tabletop roleplaying game with complex natural language interactions between players and hidden state information.

Text Generation

Does Putting a Linguist in the Loop Improve NLU Data Collection?

no code implementations Findings (EMNLP) 2021 Alicia Parrish, William Huang, Omar Agha, Soo-Hwan Lee, Nikita Nangia, Alex Warstadt, Karmanya Aggarwal, Emily Allaway, Tal Linzen, Samuel R. Bowman

We take natural language inference as a test case and ask whether it is beneficial to put a linguist `in the loop' during data collection to dynamically identify and address gaps in the data by introducing novel constraints on the task.

Natural Language Inference

Cannot find the paper you are looking for? You can Submit a new open access paper.