38 citations · 55 across the 4 of their papers we have counts for
4 papers
Domain Adaptation for Named Entity Recognition in Online Media with Word Embeddings
Vivek Kulkarni, Yashar Mehdad, Troy Chevalier
Content on the Internet is heterogeneous and arises from various domains like News, Entertainment, Finance and Technology. Understanding such content requires identifying named ent…
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…