8.8k citations · 11k across the 60 of their papers we have counts for
5 papers · 1 filter
Statistically Significant Detection of Linguistic Change
Vivek Kulkarni, Rami Al-Rfou, Bryan Perozzi +1
We propose a new computational approach for tracking and detecting statistically significant linguistic shifts in the meaning and usage of words. Such linguistic shifts are especia…
POLYGLOT-NER: Massive Multilingual Named Entity Recognition
Rami Al-Rfou, Vivek Kulkarni, Bryan Perozzi +1
The increasing diversity of languages used on the web introduces a new level of complexity to Information Retrieval (IR) systems. We can no longer assume that textual content is wr…
Exploring the power of GPU's for training Polyglot language models
Vivek Kulkarni, Rami Al-Rfou', Bryan Perozzi +1
One of the major research trends currently is the evolution of heterogeneous parallel computing. GP-GPU computing is being widely used and several applications have been designed t…
DeepWalk: Online Learning of Social Representations
Bryan Perozzi, Rami Al-Rfou, Steven Skiena
We present DeepWalk, a novel approach for learning latent representations of vertices in a network. These latent representations encode social relations in a continuous vector spac…
Inducing Language Networks from Continuous Space Word Representations
Bryan Perozzi, Rami Al-Rfou, Vivek Kulkarni +1
Recent advancements in unsupervised feature learning have developed powerful latent representations of words. However, it is still not clear what makes one representation better th…