91 citations · 91 across the 4 of their papers we have counts for
6 papers
No that's not what I meant: Handling Third Position Repair in Conversational Question Answering
Vevake Balaraman, Arash Eshghi, Ioannis Konstas +1
The ability to handle miscommunication is crucial to robust and faithful conversational AI. People usually deal with miscommunication immediately as they detect it, using highly sy…
Domain-Aware Dialogue State Tracker for Multi-Domain Dialogue Systems
Vevake Balaraman, Bernardo Magnini
In task-oriented dialogue systems the dialogue state tracker (DST) component is responsible for predicting the state of the dialogue based on the dialogue history. Current DST appr…
A Robust Data-Driven Approach for Dialogue State Tracking of Unseen Slot Values
Vevake Balaraman, Bernardo Magnini
A Dialogue State Tracker is a key component in dialogue systems which estimates the beliefs of possible user goals at each dialogue turn. Deep learning approaches using recurrent n…
Scalable Neural Dialogue State Tracking
Vevake Balaraman, Bernardo Magnini
A Dialogue State Tracker (DST) is a key component in a dialogue system aiming at estimating the beliefs of possible user goals at each dialogue turn. Most of the current DST tracke…
Benchmarking machine learning models on multi-centre eICU critical care dataset
Seyedmostafa Sheikhalishahi, Vevake Balaraman, Venet Osmani
Progress of machine learning in critical care has been difficult to track, in part due to absence of public benchmarks. Other fields of research (such as computer vision and natura…
Doctoral Advisor or Medical Condition: Towards Entity-specific Rankings of Knowledge Base Properties [Extended Version]
Simon Razniewski, Vevake Balaraman, Werner Nutt
In knowledge bases such as Wikidata, it is possible to assert a large set of properties for entities, ranging from generic ones such as name and place of birth to highly profession…