I am building a entity detection and relation classification method using deep learning approach which requires vector representation of POS tags and entity label. I am familiar with word-embedding method but I don't know the answer of following questions:
- How to convert pos tags into vector representation(say 20 dim)
- How to combine both word embeddings and pos embedding together to build the classifier.
Similar question was asked in Cross validate community but I couldn't find the answer. Here is the link to question: https://stats.stackexchange.com/questions/238016/deep-learning-word-embedding-with-parts-of-speech
Research paper link: https://arxiv.org/abs/1601.00770