Equip** machines with comprehensive knowledge of the world's entities and their
relationships has been a longstanding goal of AI. Over the last decade, large-scale …

Moderation is crucial to promoting healthy on-line discussions. Although severaltoxicity'
detection datasets and models have been published, most of them ignore the context of the …

Online discussions often derail into toxic exchanges between participants. Recent efforts
mostly focused on detecting antisocial behavior after the fact, by analyzing single comments …

Wikimedia content is used extensively by the AI community and within the language
modeling community in particular. In this paper, we provide a review of the different ways in …

Natural Language Processing (NLP) research has traditionally been predominantly focused
on English, driven by the availability of resources, the size of the research community, and …

Public discussions on social media platforms are an intrinsic part of online information
consumption. Characterizing the diverse range of discussions which can arise is crucial for …

Community norm violations can impair constructive communication and collaboration online.
As a defense mechanism, community moderators often address such transgressions by …

We address the task of automatically detecting toxic content in user generated texts. We fo
cus on exploring the potential for preemptive moderation, ie, predicting whether a particular …

Disagreements are pervasive in human communication. In this paper we investigate what
makes disagreement constructive. To this end, we construct WikiDisputes, a corpus of 7 425 …

English Wikipedia has long been an important data source for much research and natural
language machine learning modeling. The growth of non-English language editions of …