no code implementations • GWC 2016 • Sudha Bhingardive, Hanumant Redkar, Prateek Sappadla, Dhirendra Singh, Pushpak Bhattacharyya
This tool, web interface and the API are made available for the research purpose.
no code implementations • GWC 2016 • Dhirendra Singh, Sudha Bhingardive, Pushpak Bhattacharyyaa
In this paper, we focus on two categories of MWEs - Compound Nouns and Light Verb Constructions.
no code implementations • 16 Dec 2021 • Afshin Jafari, Dhirendra Singh, Alan Both, Mahsa Abdollahyar, Lucy Gunn, Steve Pemberton, Billie Giles-Corti
This paper presents an open workflow for creating a multi-modal agent-based and activity-based transport simulation model, focusing on Greater Melbourne, and including the process of mode choice calibration for the four main travel modes of driving, public transport, cycling and walking.
no code implementations • 19 Nov 2021 • Alan Both, Dhirendra Singh, Afshin Jafari, Billie Giles-Corti, Lucy Gunn
In this paper, we present an algorithm for creating a synthetic population for the Greater Melbourne area using a combination of machine learning, probabilistic, and gravity-based approaches.
no code implementations • 26 May 2021 • Dhirendra Singh, Ken Strahan, Jim McLennan, Joel Robertson, Bhagya Wickramasinghe
A decade on from the devastating Black Saturday bushfires in Victoria, Australia, we are at a point where computer simulations of community evacuations are starting to be used within the emergency services.
no code implementations • LREC 2016 • Dhirendra Singh, Sudha Bhingardive, Pushpak Bhattacharyya
In this paper, we present MWEs annotation dataset created for Indian languages viz., Hindi and Marathi.
no code implementations • LREC 2016 • Sudha Bhingardive, Rajita Shukla, Jaya Saraswati, Laxmi Kashyap, Dhirendra Singh, Pushpak Bhattacharyya
Various supervised, unsupervised and knowledge based approaches have been proposed for automatically determining the sense of a word in a particular context.