3 citations · 7 across the 9 of their papers we have counts for
4 papers · 1 filter
Making Task-Oriented Dialogue Datasets More Natural by Synthetically Generating Indirect User Requests
Amogh Mannekote, Jinseok Nam, Ziming Li +3
Indirect User Requests (IURs), such as "It's cold in here" instead of "Could you please increase the temperature?" are common in human-human task-oriented dialogue and require worl…
Can Similarity-Based Domain-Ordering Reduce Catastrophic Forgetting for Intent Recognition?
Amogh Mannekote, Xiaoyi Tian, Kristy Elizabeth Boyer +1
Task-oriented dialogue systems are expected to handle a constantly expanding set of intents and domains even after they have been deployed to support more and more functionalities.…
A Review of Digital Learning Environments for Teaching Natural Language Processing in K-12 Education
Xiaoyi Tian, Kristy Elizabeth Boyer
Natural Language Processing (NLP) plays a significant role in our daily lives and has become an essential part of Artificial Intelligence (AI) education in K-12. As children grow u…
Agreement Tracking for Multi-Issue Negotiation Dialogues
Amogh Mannekote, Bonnie J. Dorr, Kristy Elizabeth Boyer
Automated negotiation support systems aim to help human negotiators reach more favorable outcomes in multi-issue negotiations (e.g., an employer and a candidate negotiating over is…