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Research
FastText+MultiSeg
Research at Columbia University with Professor Smaranda Muresan. Written in C, and C++, this is a high-performance NLP model to introduce morphology guidance in traditional fasttext. The two-year-long research was published at LREC (right when BERT came out and had been revised from a short paper to a long paper on request of reviewers. Eventually with shifting research-landscape led by BERT, we published this research at LREC to work on the next set of problems).
Research
ParlAi+Personas
Research at Columbia University with Professor Zhou Yu. Pronounced as par-lay, this model research solves long-tailed conversational-domain problems.