109 citations · 457 across the 29 of their papers we have counts for
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cs.CL2017★ 8 cited
A Simple Approach to Learn Polysemous Word Embeddings
Yifan Sun, Nikhil Rao, Weicong Ding
Many NLP applications require disambiguating polysemous words. Existing methods that learn polysemous word vector representations involve first detecting various senses and optimiz…
stat.ML2017★ 2 cited
Matrix Completion via Factorizing Polynomials
Vatsal Shah, Nikhil Rao, Weicong Ding
Predicting unobserved entries of a partially observed matrix has found wide applicability in several areas, such as recommender systems, computational biology, and computer vision.…
cs.CL2017★ 109 cited
Dynamic Word Embeddings for Evolving Semantic Discovery
Zijun Yao, Yifan Sun, Weicong Ding +2
Word evolution refers to the changing meanings and associations of words throughout time, as a byproduct of human language evolution. By studying word evolution, we can infer socia…