We are proud and happy to announce that 5(!) KCAP 2021 papers accepted that are (co)authored by members of our research group. Their titles:
1) Expressing High-Level Scientific Claims with Formal Semantics
2) The Wind in Our Sails
3) Capturing Contentiousness: Constructing the Contentious Terms in Context Corpus
4) User-friendly Composition of FAIR Workflows in a Notebook Environment
5) Living Literature Reviews
Congrats all, looking forward to the conference!
The Semantic Web community has produced a large body of literature that is becoming increasingly difficult to manage, browse, and use. Recent work on attention-based, sequence-to-sequence Transformer neural architecture has produced language models that generate surprisingly convincing synthetic conditional text samples. In this demonstration, we re-train the GPT-2 architecture using the complete corpus of proceedings of the International Semantic Web Conference since 2002 until 2019. We use user-provided sentences to conditionally sample paper snippets, therefore illustrating cases where this model can help at addressing challenges in scientific paper writing, such as navigating extensive literature, explaining the Semantic Web core concepts, providing definitions, and even inspiring new research ideas.