15 citations · 23 across the 6 of their papers we have counts for
7 papers
NormBank: A Knowledge Bank of Situational Social Norms
Caleb Ziems, Jane Dwivedi-Yu, Yi-Chia Wang +2
We present NormBank, a knowledge bank of 155k situational norms. This resource is designed to ground flexible normative reasoning for interactive, assistive, and collaborative AI s…
A Comprehensive Survey of Natural Language Generation Advances from the Perspective of Digital Deception
Keenan Jones, Enes Altuncu, Virginia N. L. Franqueira +2
In recent years there has been substantial growth in the capabilities of systems designed to generate text that mimics the fluency and coherence of human language. From this, there…
The Moral Integrity Corpus: A Benchmark for Ethical Dialogue Systems
Caleb Ziems, Jane A. Yu, Yi-Chia Wang +2
Conversational agents have come increasingly closer to human competence in open-domain dialogue settings; however, such models can reflect insensitive, hurtful, or entirely incoher…
Can You be More Social? Injecting Politeness and Positivity into Task-Oriented Conversational Agents
Yi-Chia Wang, Alexandros Papangelis, Runze Wang +3
Goal-oriented conversational agents are becoming prevalent in our daily lives. For these systems to engage users and achieve their goals, they need to exhibit appropriate social be…
Controllable Text Generation with Focused Variation
Lei Shu, Alexandros Papangelis, Yi-Chia Wang +5
This work introduces Focused-Variation Network (FVN), a novel model to control language generation. The main problems in previous controlled language generation models range from t…
Plato Dialogue System: A Flexible Conversational AI Research Platform
Alexandros Papangelis, Mahdi Namazifar, Chandra Khatri +3
As the field of Spoken Dialogue Systems and Conversational AI grows, so does the need for tools and environments that abstract away implementation details in order to expedite the…
Collaborative Multi-Agent Dialogue Model Training Via Reinforcement Learning
Alexandros Papangelis, Yi-Chia Wang, Piero Molino +1
We present the first complete attempt at concurrently training conversational agents that communicate only via self-generated language. Using DSTC2 as seed data, we trained natural…