Meaning in Order, Order in Meaning: Semantic R-precision for Keyphrase Evaluation
Evaluating the quality of automatically generated keyphrases remains a complex challenge. Traditional metrics either rely on exact lexical matching or consider semantic similarity while ignoring prediction ranking, both of which misalign with how humans judge informativeness and relevance. We introduce Semantic R-Precision (SemR-p), a novel evaluation metric that integrates semantic similarity into the rank-aware R-Precision framework. Designed from a human-centric perspective and inspired by Information Retrieval metrics, SemR-p rewards semantically relevant keyphrases that appear early in the output list. We conducted extensive analyses to assess its semantic sensitivity, ranking awaren...
| Authors | Shamira Venturini, Steffen Kinkel |
|---|---|
| Primary category | cs.IR |
| Published | 5 June 2026 |
| Last updated at source | 5 June 2026 |
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