no code implementations • 24 Dec 2021 • Trisha Singhal, Junhua Liu, Lucienne T. M. Blessing, Kwan Hui Lim
Word embedding is used to capture semantic meanings of domain-specific words.
no code implementations • 27 Nov 2021 • 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.
1 code implementation • 21 Jun 2021 • Trisha Singhal, Junhua Liu, Lucienne T. M. Blessing, Kwan Hui Lim
The dataset is then used to train 3 classification models to automatically classify the images into the relevant style which resulted in an accuracy of ~96%.
no code implementations • 12 Jun 2021 • L Siddharth, Lucienne T. M. Blessing, Kristin L. Wood, Jianxi Luo
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 database.
1 code implementation • 9 Jun 2020 • Junhua Liu, Trisha Singhal, Lucienne T. M. Blessing, Kristin L. Wood, Kwan Hui Lim
In this paper, we present EPIC30M, a large-scale epidemic corpus that contains 30 millions micro-blog posts, i. e., tweets crawled from Twitter, from year 2006 to 2020.
no code implementations • 11 May 2020 • Junhua Liu, Trisha Singhal, Lucienne T. M. Blessing, Kristin L. Wood, Kwan Hui Lim
However, none of the works perform crisis embedding and classification using state of the art attention-based deep neural networks models, such as Transformers and document-level contextual embeddings.