activity
20122023
most citedFeature Driven and Point Process Approaches for Popularity Prediction

129 citations · 798 across the 46 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CL2020

SupMMD: A Sentence Importance Model for Extractive Summarization using Maximum Mean Discrepancy

Umanga Bista, Alexander Patrick Mathews, Aditya Krishna Menon +1

Most work on multi-document summarization has focused on generic summarization of information present in each individual document set. However, the under-explored setting of update…

cs.LG2020★ 1 cited

UNIPoint: Universally Approximating Point Processes Intensities

Alexander Soen, Alexander Mathews, Daniel Grixti-Cheng +1

Point processes are a useful mathematical tool for describing events over time, and so there are many recent approaches for representing and learning them. One notable open questio…

cs.SI2020★ 5 cited

Variation across Scales: Measurement Fidelity under Twitter Data Sampling

Siqi Wu, Marian-Andrei Rizoiu, Lexing Xie

A comprehensive understanding of data quality is the cornerstone of measurement studies in social media research. This paper presents in-depth measurements on the effects of Twitte…

cs.CV2020★ 8 cited

Transform and Tell: Entity-Aware News Image Captioning

Alasdair Tran, Alexander Mathews, Lexing Xie

We propose an end-to-end model which generates captions for images embedded in news articles. News images present two key challenges: they rely on real-world knowledge, especially…

cs.SI2020★ 2 cited

Describing and Predicting Online Items with Reshare Cascades via Dual Mixture Self-exciting Processes

Quyu Kong, Marian-Andrei Rizoiu, Lexing Xie

It is well-known that online behavior is long-tailed, with most cascaded actions being short and a few being very long. A prominent drawback in generative models for online events…