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The overall goal of this research is the automation of various domain expert trend detection practices and integration of these automated modules into a fully automated system. The first two methods of this automation are presented and their usability and performance are evaluated. We show that these tools aid in increasing the efficiency of the task of emerging trend detection and further propose improvement for these tools as well as future plans for the full automation of the presented methodology.
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Stored only when both papers are in the corpus — 4 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.