  Recent progress in natural language processing has been impressive in many
different areas with transformer-based approaches setting new benchmarks for a
wide range of applications. This development has also lowered the barriers for
people outside the NLP community to tap into the tools and resources applied to
a variety of domain-specific applications. The bottleneck however still remains
the lack of annotated gold-standard collections as soon as one's research or
professional interest falls outside the scope of what is readily available. One
such area is genocide-related research (also including the work of experts who
have a professional interest in accessing, exploring and searching large-scale
document collections on the topic, such as lawyers). We present GTC (Genocide
Transcript Corpus), the first annotated corpus of genocide-related court
transcripts which serves three purposes: (1) to provide a first reference
corpus for the community, (2) to establish benchmark performances (using
state-of-the-art transformer-based approaches) for the new classification task
of paragraph identification of violence-related witness statements, (3) to
explore first steps towards transfer learning within the domain. We consider
our contribution to be addressing in particular this year's hot topic on
Language Technology for All.
