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Found 4 papers, 2 papers with code
ATEM: A Topic Evolution Model for the Detection of Emerging Topics in Scientific Archives
This paper presents ATEM, a novel framework for studying topic evolution in scientific archives.
Contextualized Topic Coherence Metrics
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.
ANTM: An Aligned Neural Topic Model for Exploring Evolving Topics
This overlapping sliding window algorithm identifies a different number of topics within each time frame and aligns semantically similar document clusters across time periods.
BigSR: an empirical study of real-time expressive RDF stream reasoning on modern Big Data platforms
The trade-off between language expressiveness and system scalability (E&S) is a well-known problem in RDF stream reasoning.
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