62 citations · 266 across the 19 of their papers we have counts for
5 papers · 1 filter
MOHONE: Modeling Higher Order Network Effects in KnowledgeGraphs via Network Infused Embeddings
Hao Yu, Vivek Kulkarni, William Wang
Many knowledge graph embedding methods operate on triples and are therefore implicitly limited by a very local view of the entire knowledge graph. We present a new framework MOHONE…
DOLORES: Deep Contextualized Knowledge Graph Embeddings
Haoyu Wang, Vivek Kulkarni, William Yang Wang
We introduce a new method DOLORES for learning knowledge graph embeddings that effectively captures contextual cues and dependencies among entities and relations. First, we note th…
Multi-view Models for Political Ideology Detection of News Articles
Vivek Kulkarni, Junting Ye, Steven Skiena +1
A news article's title, content and link structure often reveal its political ideology. However, most existing works on automatic political ideology detection only leverage textual…
Hate Lingo: A Target-based Linguistic Analysis of Hate Speech in Social Media
Mai ElSherief, Vivek Kulkarni, Dana Nguyen +2
While social media empowers freedom of expression and individual voices, it also enables anti-social behavior, online harassment, cyberbullying, and hate speech. In this paper, we…
Simple Models for Word Formation in English Slang
Vivek Kulkarni, William Yang Wang
We propose generative models for three types of extra-grammatical word formation phenomena abounding in English slang: Blends, Clippings, and Reduplicatives. Adopting a data-driven…