85 citations · 203 across the 27 of their papers we have counts for
5 papers · 1 filter
KLearn: Background Knowledge Inference from Summarization Data
Maxime Peyrard, Robert West
The goal of text summarization is to compress documents to the relevant information while excluding background information already known to the receiver. So far, summarization rese…
Experts and authorities receive disproportionate attention on Twitter during the COVID-19 crisis
Kristina Gligorić, Manoel Horta Ribeiro, Martin Müller +5
Timely access to accurate information is crucial during the COVID-19 pandemic. Prompted by key stakeholders' cautioning against an "infodemic", we study information sharing on Twit…
On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation
Wei Zhao, Goran Glavaš, Maxime Peyrard +3
Evaluation of cross-lingual encoders is usually performed either via zero-shot cross-lingual transfer in supervised downstream tasks or via unsupervised cross-lingual textual simil…
Sudden Attention Shifts on Wikipedia During the COVID-19 Crisis
Manoel Horta Ribeiro, Kristina Gligorić, Maxime Peyrard +3
We study how the COVID-19 pandemic, alongside the severe mobility restrictions that ensued, has impacted information access on Wikipedia, the world's largest online encyclopedia. A…
A Ladder of Causal Distances
Maxime Peyrard, Robert West
Causal discovery, the task of automatically constructing a causal model from data, is of major significance across the sciences. Evaluating the performance of causal discovery algo…