Francis Ferraro

A Unified Bayesian Model of Scripts, Frames and Language

2016 · Proceedings of the AAAI Conference on Artificial Intelligence

We present the first probabilistic model to capture all levels of the Minsky Frame structure, with the goal of corpus-based induction of scenario definitions. Our model unifies prior efforts in discourse-level modeling with that of …

SURFACE: Semantically Rich Fact Validation with Explanations

2018 · arXiv (Cornell University)

Judging the veracity of a sentence making one or more claims is an important and challenging problem with many dimensions. The recent FEVER task asked participants to classify input sentences as either SUPPORTED, REFUTED or …

Enhancing Knowledge Graph Consistency through Open Large Language Models: A Case Study

2024 · Proceedings of the AAAI Symposium Series

High-quality knowledge graphs (KGs) play a crucial role in many applications. However, KGs created by automated information extraction systems can suffer from erroneous extractions or be inconsistent with provenance/source text. It is important to identify …

SAGA: A Participant-specific Examination of Story Alternatives and Goal Applicability for a Deeper Understanding of Complex Events

2024 · arXiv (Cornell University)

Interpreting and assessing goal driven actions is vital to understanding and reasoning over complex events. It is important to be able to acquire the knowledge needed for this understanding, though doing so is challenging. We …

Beyond Math: Stories as a Testbed for Memorization-Constrained Reasoning in LLMs

2026 · Digital Repository at the University of Maryland (University of Maryland College Park)

Memorization has been shown to greatly inflate Large Language Models' (LLMs) performance on domains such as math and logic, where success should primarily rely on applying generalizable reasoning rules. In many real-world applications, however, memorization …