Conducted Named Entity Recognition (NER) on JD.com product titles in specific categories
An Independent Project leveraging PyTorch to develop a question and answer bot based on a legal-like question and answer dataset using a Seq2Seq model.
An Independent Project focused on developing a Named Entity Recognition system for legal texts using PyTorch with a BiLSTM + CRF architecture.
A legal platform based on big data and artificial intelligence technology to serve legal practitioners and consultants
Provide a scalable short text similarity calculation scheme