no code implementations • 4 Jun 2023 • Hamed Rahimi, Hubert Naacke, Camelia Constantin, Bernd Amann
This paper presents ATEM, a novel framework for studying topic evolution in scientific archives.
1 code implementation • 23 May 2023 • Hamed Rahimi, Jacob Louis Hoover, David Mimno, Hubert Naacke, Camelia Constantin, Bernd Amann
The recent explosion in work on neural topic modeling has been criticized for optimizing automated topic evaluation metrics at the expense of actual meaningful topic identification.
1 code implementation • 3 Feb 2023 • Hamed Rahimi, Hubert Naacke, Camelia Constantin, Bernd Amann
This overlapping sliding window algorithm identifies a different number of topics within each time frame and aligns semantically similar document clusters across time periods.
no code implementations • 12 Apr 2018 • Xiangnan Ren, Olivier Curé, Hubert Naacke, Guohui Xiao
The trade-off between language expressiveness and system scalability (E&S) is a well-known problem in RDF stream reasoning.