Search Results for author:
Found 6 papers, 3 papers with code
The Search for Agreement on Logical Fallacy Annotation of an Infodemic
We evaluate an annotation schema for labeling logical fallacy types, originally developed for a crowd-sourcing annotation paradigm, now using an annotation paradigm of two trained linguist annotators.
FRIDA to the Rescue! Analyzing Synthetic Data Effectiveness in Object-Based Common Sense Reasoning for Disaster Response
We introduce a pipeline to create Field Ready Instruction Decoding Agent (FRIDA) models, where domain experts and linguists combine their knowledge to make high-quality seed data that is used to generate synthetic data for fine-tuning.
Assessing Language Comprehension in Large Language Models Using Construction Grammar
CxG is well-suited for this purpose because provides a theoretical basis to construct targeted evaluation sets.
SCOUT: A Situated and Multi-Modal Human-Robot Dialogue Corpus
We introduce the Situated Corpus Of Understanding Transactions (SCOUT), a multi-modal collection of human-robot dialogue in the task domain of collaborative exploration.
Human-Robot Dialogue Annotation for Multi-Modal Common Ground
In this paper, we describe the development of symbolic representations annotated on human-robot dialogue data to make dimensions of meaning accessible to autonomous systems participating in collaborative, natural language dialogue, and to enable common ground with human partners.
Navigating to Success in Multi-Modal Human-Robot Collaboration: Analysis and Corpus Release
Human-guided robotic exploration is a useful approach to gathering information at remote locations, especially those that might be too risky, inhospitable, or inaccessible for humans.
