4 papers
A Grounded Approach to Modeling Generic Knowledge Acquisition
Deniz Beser, Joe Cecil, Marjorie Freedman +4
We introduce and implement a cognitively plausible model for learning from generic language, statements that express generalizations about members of a category and are an importan…
ADAM: A Sandbox for Implementing Language Learning
Ryan Gabbard, Deniz Beser, Jacob Lichtefeld +5
We present ADAM, a software system for designing and running child language learning experiments in Python. The system uses a virtual world to simulate a grounded language acquisit…
Training with Streaming Annotation
Tongtao Zhang, Heng Ji, Shih-Fu Chang +1
In this paper, we address a practical scenario where training data is released in a sequence of small-scale batches and annotation in earlier phases has lower quality than the late…
Events Beyond ACE: Curated Training for Events
Ryan Gabbard, Jay DeYoung, Marjorie Freedman
We explore a human-driven approach to annotation, curated training (CT), in which annotation is framed as teaching the system by using interactive search to identify informative sn…