2.9k citations · 6.8k across the 82 of their papers we have counts for
3 papers · 1 filter
From Node Embedding To Community Embedding
Vincent W. Zheng, Sandro Cavallari, Hongyun Cai +2
Most of the existing graph embedding methods focus on nodes, which aim to output a vector representation for each node in the graph such that two nodes being "close" on the graph a…
A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks
Soujanya Poria, Erik Cambria, Devamanyu Hazarika +1
Sarcasm detection is a key task for many natural language processing tasks. In sentiment analysis, for example, sarcasm can flip the polarity of an "apparently positive" sentence a…
GECKA3D: A 3D Game Engine for Commonsense Knowledge Acquisition
Erik Cambria, Tam V. Nguyen, Brian Cheng +2
Commonsense knowledge representation and reasoning is key for tasks such as artificial intelligence and natural language understanding. Since commonsense consists of information th…