Sentence representations and question answering (slides)
The success of neural word embedding models like word2vec and GloVe motivated research on representing sentences in an n-dimensional space. Michael Manukyan and Hrayr Harutyunyan reviewed several sentence representation algorithms and their applications in state-of-the-art automated question answering systems during a talk at the Armenian NLP meetup. The slides of the talk are below. Follow us on SlideShare to get the latest slides from YerevaNN.