7 citations · 11 across the 8 of their papers we have counts for
8 papers
RECAP: Retrieval-Enhanced Context-Aware Prefix Encoder for Personalized Dialogue Response Generation
Shuai Liu, Hyundong J. Cho, Marjorie Freedman +2
Endowing chatbots with a consistent persona is essential to an engaging conversation, yet it remains an unresolved challenge. In this work, we propose a new retrieval-enhanced appr…
Perhaps PTLMs Should Go to School -- A Task to Assess Open Book and Closed Book QA
Manuel R. Ciosici, Joe Cecil, Alex Hedges +3
Our goal is to deliver a new task and leaderboard to stimulate research on question answering and pre-trained language models (PTLMs) to understand a significant instructional docu…
Understanding Multimodal Procedural Knowledge by Sequencing Multimodal Instructional Manuals
Te-Lin Wu, Alex Spangher, Pegah Alipoormolabashi +3
The ability to sequence unordered events is an essential skill to comprehend and reason about real world task procedures, which often requires thorough understanding of temporal co…
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…
Machine-Assisted Script Curation
Manuel R. Ciosici, Joseph Cummings, Mitchell DeHaven +5
We describe Machine-Aided Script Curator (MASC), a system for human-machine collaborative script authoring. Scripts produced with MASC include (1) English descriptions of sub-event…
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…