Low-Shot Learning for Fictional Claim Verification
Viswanath Chadalapaka, Derek L. Nguyen, JoonWon Choi, Shaunak Joshi, Mohammad Ghomi Rostami · arXiv (Cornell University) · 2023
In this paper, we study the problem of claim verification in the context of claims about fictional stories in a low-shot learning setting. To this end, we generate two synthetic datasets and then develop an end-to-end pipeline and model that is tested on both benchmarks. To test the efficacy of our pipeline and the difficulty of benchmarks, we compare our models' results against human and random assignment results. Our code is available at https://github.com/Derposoft/plot_hole_detection.