• No results found

Evaluating Research Novelty Detection: Counterfactual Approaches

N/A
N/A
Protected

Academic year: 2020

Share "Evaluating Research Novelty Detection: Counterfactual Approaches"

Copied!
10
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Figure 1: Intuition behind our proposed evaluationmetrics for research paper novelty detection, wherenov(·) is the novelty detection model.
Figure 2: The feature extraction methods used by different novelty detection models. We only show author andkeyword as examples for metadata-based and entity-based citation features, respectively, for conciseness.
Table 2: Ranking results. Spearman correlation coeffi-cient ρ for each period each novelty detection modelsin comparison
Table 4: Correlation results. Pearson correlation coef-ficient between different novelty detection models andcitation counts
+2

References

Related documents