Portrait Photo
My key research areas include natural language processing/computational linguistics, with a focus on the capturing of sentence meaning. More broadly my interests include machine learning, data mining, pattern recognition and artificial intelligence. My overarching goal is to develop methods to allow for better computational processing of the vast amounts of data which has been prepared for manual (human) processing -- eg books, blogs, newspaper. I completed a Bachelor of Engineering (Electrical and Electronic) and also a Bachelor of Computer and Mathematical Science (Pure Mathematics, Computation), at the University of Western Australia in 2014; where I have continued on into my PhD studies.
  • 2016: Generating Bags of Words from the Sums of their Word Embeddings, Lyndon White, Roberto Togneri, Wei Liu, and Mohammed Bennamoun.
    Conference on Intelligent Text Processing and Computational Linguistics (CICLing) Best Student Paper [pdf, bib , site ]
  • 2015: How Well Sentence Embeddings Capture Meaning, Lyndon White, Roberto Togneri, Wei Liu, and Mohammed Bennamoun.
    Proceedings of the 20th Australasian Document Computing Symposium [pdf, bib , site ]
  • 2015: Transistor Sizing Using Particle Swarm Optimisation, Lyndon White, Lyndon While, Ben Deeks, and Farid Boussaid.
    Proceedings of the 2015 IEEE Symposium Series on Computational Intelligence [pdf, bib ]
  • 2015: PhD Research Proposal: Semantic Vector Representations of Sentences, Lyndon White.
    [pdf, bib ]