3 citations · 3 across the 2 of their papers we have counts for
6 papers
Improving Dialog Evaluation with a Multi-reference Adversarial Dataset and Large Scale Pretraining
Ananya B. Sai, Akash Kumar Mohankumar, Siddhartha Arora +1
There is an increasing focus on model-based dialog evaluation metrics such as ADEM, RUBER, and the more recent BERT-based metrics. These models aim to assign a high score to all re…
Probabilistic Forecasting of Patient Waiting Times in an Emergency Department
Siddharth Arora, James W. Taylor, Ho-Yin Mak
We study the estimation of the probability distribution of individual patient waiting times in an emergency department (ED). Our feature-rich modelling allows for dynamic updating…
Towards Exploiting Background Knowledge for Building Conversation Systems
Nikita Moghe, Siddhartha Arora, Suman Banerjee +1
Existing dialog datasets contain a sequence of utterances and responses without any explicit background knowledge associated with them. This has resulted in the development of mode…
A Dataset for Building Code-Mixed Goal Oriented Conversation Systems
Suman Banerjee, Nikita Moghe, Siddhartha Arora +1
There is an increasing demand for goal-oriented conversation systems which can assist users in various day-to-day activities such as booking tickets, restaurant reservations, shopp…
Short Term Load Forecasts of Low Voltage Demand and the Effects of Weather
Stephen Haben, Georgios Giasemidis, Florian Ziel +1
Short term load forecasts will play a key role in the implementation of smart electricity grids. They are required to optimise a wide range of potential network solutions on the lo…
Rule-based Autoregressive Moving Average Models for Forecasting Load on Special Days: A Case Study for France
Siddharth Arora, James W. Taylor
This paper presents a case study on short-term load forecasting for France, with emphasis on special days, such as public holidays. We investigate the generalisability to French da…