102 citations · 323 across the 41 of their papers we have counts for
14 papers · 1 filter
A Large-Scale Characterization of How Readers Browse Wikipedia
Tiziano Piccardi, Martin Gerlach, Akhil Arora +1
Despite the importance and pervasiveness of Wikipedia as one of the largest platforms for open knowledge, surprisingly little is known about how people navigate its content when se…
Better than Average: Paired Evaluation of NLP Systems
Maxime Peyrard, Wei Zhao, Steffen Eger +1
Evaluation in NLP is usually done by comparing the scores of competing systems independently averaged over a common set of test instances. In this work, we question the use of aver…
Classifying Dyads for Militarized Conflict Analysis
Niklas Stoehr, Lucas Torroba Hennigen, Samin Ahbab +2
Understanding the origins of militarized conflict is a complex, yet important undertaking. Existing research seeks to build this understanding by considering bi-lateral relationshi…
Population-scale dietary interests during the COVID-19 pandemic
Kristina Gligoric, Arnaud Chiolero, Emre Kıcıman +2
The SARS-CoV-2 virus has altered people's lives around the world. Here we document population-wide shifts in dietary interests in 18 countries in 2020, as revealed through time ser…
Can online attention signals help fact-checkers fact-check?
Manoel Horta Ribeiro, Savvas Zannettou, Oana Goga +2
Recent research suggests that not all fact-checking efforts are equal: when and what is fact-checked plays a pivotal role in effectively correcting misconceptions. In that context,…
Laughing Heads: Can Transformers Detect What Makes a Sentence Funny?
Maxime Peyrard, Beatriz Borges, Kristina Gligorić +1
The automatic detection of humor poses a grand challenge for natural language processing. Transformer-based systems have recently achieved remarkable results on this task, but they…