no code implementations • EMNLP (spnlp) 2020 • Anh Duong Trinh, Robert J. Ross, John D. Kelleher
Scaling up dialogue state tracking to multiple domains is challenging due to the growth in the number of variables being tracked.
1 code implementation • COLING 2020 • Annika Lindh, Robert J. Ross, John D. Kelleher
A vital component of the Controllable Image Captioning architecture is the mechanism that decides the timing of attending to each region through the advancement of a region pointer.
no code implementations • RANLP 2019 • Fei Wang, Robert J. Ross, John D. Kelleher
Using these metrics we rank different background corpora relative to a target corpus.
no code implementations • WS 2019 • Anh Duong Trinh, Robert J. Ross, John D. Kelleher
In this paper we argue that treating the prediction of each slot value as an independent prediction task may ignore important associations between the slot values, and, consequently, we argue that treating dialogue state tracking as a structured prediction problem can help to improve dialogue state tracking performance.
1 code implementation • 19 Dec 2018 • Annika Lindh, Robert J. Ross, Abhijit Mahalunkar, Giancarlo Salton, John D. Kelleher
Image Captioning is a task that requires models to acquire a multi-modal understanding of the world and to express this understanding in natural language text.
no code implementations • 10 Oct 2018 • Giancarlo D. Salton, Robert J. Ross, John D. Kelleher
Idioms pose problems to almost all Machine Translation systems.