16 citations · 20 across the 7 of their papers we have counts for
10 papers · 1 filter
Generating Diverse and Meaningful Captions
Annika Lindh, Robert J. Ross, Abhijit Mahalunkar +2
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. While the state-of-t…
TEST: A Terminology Extraction System for Technology Related Terms
Murhaf Hossari, Soumyabrata Dev, John D. Kelleher
Tracking developments in the highly dynamic data-technology landscape are vital to keeping up with novel technologies and tools, in the various areas of Artificial Intelligence (AI…
Exploring the Use of Attention within an Neural Machine Translation Decoder States to Translate Idioms
Giancarlo D. Salton, Robert J. Ross, John D. Kelleher
Idioms pose problems to almost all Machine Translation systems. This type of language is very frequent in day-to-day language use and cannot be simply ignored. The recent interest…
Persistence pays off: Paying Attention to What the LSTM Gating Mechanism Persists
Giancarlo D. Salton, John D. Kelleher
Language Models (LMs) are important components in several Natural Language Processing systems. Recurrent Neural Network LMs composed of LSTM units, especially those augmented with…
Understanding Recurrent Neural Architectures by Analyzing and Synthesizing Long Distance Dependencies in Benchmark Sequential Datasets
Abhijit Mahalunkar, John D. Kelleher
In order to build efficient deep recurrent neural architectures, it is essential to analyze the complexityof long distance dependencies (LDDs) of the dataset being modeled. In this…
On the Inability of Markov Models to Capture Criticality in Human Mobility
Vaibhav Kulkarni, Abhijit Mahalunkar, Benoit Garbinato +1
We examine the non-Markovian nature of human mobility by exposing the inability of Markov models to capture criticality in human mobility. In particular, the assumed Markovian natu…