Understanding the vulnerability of linguistic features extracted from no...
We seek to improve the data efficiency of neural networks and present no...
Automatic Speech Recognition (ASR) is a critical component of any
fully-...
This paper provides a detailed summary of the first shared task on End-t...
Speech datasets for identifying Alzheimer's disease (AD) are generally
r...
This paper summarises the experimental setup and results of the first sh...
Linguistic features have shown promising applications for detecting vari...
One of the most prevalent symptoms among the elderly population, dementi...
This paper introduces transductive consensus network (TCNs), as an exten...
Human evaluation for natural language generation (NLG) often suffers fro...
Traditional automatic evaluation measures for natural language generatio...
The majority of NLG evaluation relies on automatic metrics, such as BLEU...
We argue that there are currently two major bottlenecks to the commercia...
This paper describes the E2E data, a new dataset for training end-to-end...
Recognition of social signals, from human facial expressions or prosody ...
Recent advances in corpus-based Natural Language Generation (NLG) hold t...