24 citations · 46 across the 10 of their papers we have counts for
16 papers
NLU for Game-based Learning in Real: Initial Evaluations
Eda Okur, Saurav Sahay, Lama Nachman
Intelligent systems designed for play-based interactions should be contextually aware of the users and their surroundings. Spoken Dialogue Systems (SDS) are critical for these inte…
Intuitive and Efficient Human-robot Collaboration via Real-time Approximate Bayesian Inference
Javier Felip Leon, David Gonzalez-Aguirre, Lama Nachman
The combination of collaborative robots and end-to-end AI, promises flexible automation of human tasks in factories and warehouses. However, such promise seems a few breakthroughs…
Data Augmentation with Paraphrase Generation and Entity Extraction for Multimodal Dialogue System
Eda Okur, Saurav Sahay, Lama Nachman
Contextually aware intelligent agents are often required to understand the users and their surroundings in real-time. Our goal is to build Artificial Intelligence (AI) systems that…
Semi-supervised Interactive Intent Labeling
Saurav Sahay, Eda Okur, Nagib Hakim +1
Building the Natural Language Understanding (NLU) modules of task-oriented Spoken Dialogue Systems (SDS) involves a definition of intents and entities, collection of task-relevant…
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty
Umang Bhatt, Javier Antorán, Yunfeng Zhang +12
Algorithmic transparency entails exposing system properties to various stakeholders for purposes that include understanding, improving, and contesting predictions. Until now, most…
Audio-Visual Understanding of Passenger Intents for In-Cabin Conversational Agents
Eda Okur, Shachi H Kumar, Saurav Sahay +1
Building multimodal dialogue understanding capabilities situated in the in-cabin context is crucial to enhance passenger comfort in autonomous vehicle (AV) interaction systems. To…