Machine Learning Task - Window-based Tagging (Python - NER POS) -- 2
Budget: $30 – $250 USD
this project will need to use a framework that supports auto-diff (computation graph, backprop) in order to compute gradients, and implement a sequence tagger with window-based features.
its related to experiment with word pre-trained
embeddings, and with different word representations, on two different tagging tasks.
its related to experiment with word pre-trained
embeddings, and with different word representations, on two different tagging tasks.