31 citations · 50 across the 3 of their papers we have counts for
3 papers
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…
Learning Mixed Membership Mallows Models from Pairwise Comparisons
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama
We propose a novel parameterized family of Mixed Membership Mallows Models (M4) to account for variability in pairwise comparisons generated by a heterogeneous population of noisy…
Topic Discovery through Data Dependent and Random Projections
Weicong Ding, Mohammad H. Rohban, Prakash Ishwar +1
We present algorithms for topic modeling based on the geometry of cross-document word-frequency patterns. This perspective gains significance under the so called separability condi…