69 citations · 172 across the 44 of their papers we have counts for
8 papers · 1 filter
Zero-shot Relation Classification from Side Information
Jiaying Gong, Hoda Eldardiry
We propose a zero-shot learning relation classification (ZSLRC) framework that improves on state-of-the-art by its ability to recognize novel relations that were not present in tra…
Graph Deep Factors for Forecasting
Hongjie Chen, Ryan A. Rossi, Kanak Mahadik +2
Deep probabilistic forecasting techniques have recently been proposed for modeling large collections of time-series. However, these techniques explicitly assume either complete ind…
Reinforcement Learning-based N-ary Cross-Sentence Relation Extraction
Chenhan Yuan, Ryan Rossi, Andrew Katz +1
The models of n-ary cross sentence relation extraction based on distant supervision assume that consecutive sentences mentioning n entities describe the relation of these n entitie…
Clustering-based Unsupervised Generative Relation Extraction
Chenhan Yuan, Ryan Rossi, Andrew Katz +1
This paper focuses on the problem of unsupervised relation extraction. Existing probabilistic generative model-based relation extraction methods work by extracting sentence feature…
A Context Integrated Relational Spatio-Temporal Model for Demand and Supply Forecasting
Hongjie Chen, Ryan A. Rossi, Kanak Mahadik +1
Traditional methods for demand forecasting only focus on modeling the temporal dependency. However, forecasting on spatio-temporal data requires modeling of complex nonlinear relat…
Investigating Misinformation in Online Marketplaces: An Audit Study on Amazon
Eslam Hussein, Hoda Eldardiry
Search and recommendation systems are ubiquitous and irreplaceable tools in our daily lives. Despite their critical role in selecting and ranking the most relevant information, the…