NLP: Orthogonality based Semantic Encoding
Semantic encoding gains incredible attention nowadays. This domain is extremely competitive as tech giants conduct research on this topic. The goal in this case is to assign a semantic vector to a text, so that the vector should hold the meaning of the text. Some examples on algorithms are:https://github.com/huggingface/transformers. The student will work on developing a novel encoder, which involves the orthogonality (or independence) in the encoding process.