23 citations · 31 across the 6 of their papers we have counts for
6 papers
Analyzing Scientific Publications using Domain-Specific Word Embedding and Topic Modelling
Trisha Singhal, Junhua Liu, Lucienne T. M. Blessing +1
The scientific world is changing at a rapid pace, with new technology being developed and new trends being set at an increasing frequency. This paper presents a framework for condu…
Natural Language Processing in-and-for Design Research
L Siddharth, Lucienne T. M. Blessing, Jianxi Luo
We review the scholarly contributions that utilise Natural Language Processing (NLP) techniques to support the design process. Using a heuristic approach, we gathered 223 articles…
Photozilla: A Large-Scale Photography Dataset and Visual Embedding for 20 Photography Styles
Trisha Singhal, Junhua Liu, Lucienne T. M. Blessing +1
The advent of social media platforms has been a catalyst for the development of digital photography that engendered a boom in vision applications. With this motivation, we introduc…
Engineering Knowledge Graph from Patent Database
L Siddharth, Lucienne T. M. Blessing, Kristin L. Wood +1
We propose a large, scalable engineering knowledge graph, comprising sets of (entity, relationship, entity) triples that are real-world engineering facts found in the patent databa…
EPIC30M: An Epidemics Corpus Of Over 30 Million Relevant Tweets
Junhua Liu, Trisha Singhal, Lucienne T. M. Blessing +2
Since the start of COVID-19, several relevant corpora from various sources are presented in the literature that contain millions of data points. While these corpora are valuable in…
CrisisBERT: a Robust Transformer for Crisis Classification and Contextual Crisis Embedding
Junhua Liu, Trisha Singhal, Lucienne T. M. Blessing +2
Classification of crisis events, such as natural disasters, terrorist attacks and pandemics, is a crucial task to create early signals and inform relevant parties for spontaneous a…