Talk Abstract: Word embeddings: Beyond word2vec. Word embeddings is a very convenient and efficient way to extract semantic information from large collections of textual or textual-like data. We discuss a comparison of the performance of embeddings techniques like word2vec and GloVe as well as fastText and StarSpace in NLP related problems such as metaphor and sarcasm detection.
Bio: Kostas joined Argos in 2017 as a Lead Machine Learning engineer. Prior to Argos, he worked at Royal Mail, Mailonline, Pearson and in research; he was involved in a broad range of projects from European FP6 research programs to EdTech, Analytics, Search, Predictive Modelling using Machine Learning and AI.
Level of the talk: Advanced