Toxic comment classification has become an active research field with many recently proposed
approaches. However, while these approaches address some of the task's challenges …

We present the GermEval 2021 shared task on the identification of toxic, engaging, and fact-claiming
comments. This shared task comprises three binary classification subtasks with the …

Patent document collections are an immense source of knowledge for research and innovation
communities worldwide. The rapid growth of the number of patent documents poses an …

Social media platforms allow users to share and discuss their opinions online. However, a
minority of user posts is aggressive, thereby hinders respectful discussion, and—at an …

Comment sections of online news platforms are an essential space to express opinions and
discuss political topics. In contrast to other online posts, news discussions are related to …

Purpose Patent offices and other stakeholders in the patent domain need to classify patent
applications according to a standardized classification scheme. The purpose of this paper is …

Modern transformer-based models with hundreds of millions of parameters, such as BERT,
achieve impressive results at text classification tasks. This also holds for aggression …

The evaluation of question answering models compares ground-truth annotations with model
predictions. However, as of today, this comparison is mostly lexical-based and therefore …

Many online discussion platforms use a content moderation process, where human moderators
check user comments for offensive language and other rule violations. It is the moderator’…

Pre-training language representations on large text corpora, for example, with BERT, has
recently shown to achieve impressive performance at a variety of downstream NLP tasks. So far…