90 citations · 114 across the 12 of their papers we have counts for
17 papers
End-to-End Evaluation of a Spoken Dialogue System for Learning Basic Mathematics
Eda Okur, Saurav Sahay, Roddy Fuentes Alba +1
The advances in language-based Artificial Intelligence (AI) technologies applied to build educational applications can present AI for social-good opportunities with a broader posit…
Human in the loop approaches in multi-modal conversational task guidance system development
Ramesh Manuvinakurike, Sovan Biswas, Giuseppe Raffa +6
Development of task guidance systems for aiding humans in a situated task remains a challenging problem. The role of search (information retrieval) and conversational systems for t…
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…
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…
Put Chatbot into Its Interlocutor's Shoes: New Framework to Learn Chatbot Responding with Intention
Hsuan Su, Jiun-Hao Jhan, Fan-yun Sun +2
Most chatbot literature that focuses on improving the fluency and coherence of a chatbot, is dedicated to making chatbots more human-like. However, very little work delves into wha…