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20072022
most citedFrom Frequency to Meaning: Vector Space Models of Semantics

2.9k citations

Showing 2016Show all

7 papers · 1 filter

stat.ML20163 cited

Noisy Inductive Matrix Completion Under Sparse Factor Models

Akshay Soni, Troy Chevalier, Swayambhoo Jain

Inductive Matrix Completion (IMC) is an important class of matrix completion problems that allows direct inclusion of available features to enhance estimation capabilities. These m…

cs.CY2016

Travel the World: Analyzing and Predicting Booking Behavior using E-mail Travel Receipts

Nemanja Djuric, Mihajlo Grbovic, Vladan Radosavljevic +3

Tourism industry has grown tremendously in the previous several decades. Despite its global impact, there still remain a number of open questions related to better understanding of…

cs.CG201625 cited

Proceedings of the 24th International Symposium on Graph Drawing and Network Visualization (GD 2016)

Yifan Hu, Martin Nöllenburg

This is the arXiv index for the electronic proceedings of the 24th International Symposium on Graph Drawing and Network Visualization (GD 2016), which was held in Athens, Greece, S…

cs.CV2016236 cited

Detecting Sarcasm in Multimodal Social Platforms

Rossano Schifanella, Paloma de Juan, Joel Tetreault +1

Sarcasm is a peculiar form of sentiment expression, where the surface sentiment differs from the implied sentiment. The detection of sarcasm in social media platforms has been appl…

cs.NI20162 cited

Diurnal and Weekly Cycles in IPv6 Traffic

Stephen D. Strowes

IPv6 activity is commonly reported as a fraction of network traffic per day. Within this traffic, however, are daily and weekly characteristics, driven by non-uniform IPv6 deployme…

cs.CL201675 cited

Hierarchical Neural Language Models for Joint Representation of Streaming Documents and their Content

Nemanja Djuric, Hao Wu, Vladan Radosavljevic +2

We consider the problem of learning distributed representations for documents in data streams. The documents are represented as low-dimensional vectors and are jointly learned with…