5 citations · 10 across the 9 of their papers we have counts for
9 papers
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…
The Effect of Data Partitioning Strategy on Model Generalizability: A Case Study of Morphological Segmentation
Zoey Liu, Bonnie J. Dorr
Recent work to enhance data partitioning strategies for more realistic model evaluation face challenges in providing a clear optimal choice. This study addresses these challenges,…
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.…
SPLAIN: Augmenting Cybersecurity Warnings with Reasons and Data
Vera A. Kazakova, Jena D. Hwang, Bonnie J. Dorr +4
Effective cyber threat recognition and prevention demand comprehensible forecasting systems, as prior approaches commonly offer limited and, ultimately, unconvincing information. W…
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…
LonXplain: Lonesomeness as a Consequence of Mental Disturbance in Reddit Posts
Muskan Garg, Chandni Saxena, Debabrata Samanta +1
Social media is a potential source of information that infers latent mental states through Natural Language Processing (NLP). While narrating real-life experiences, social media us…