Fusing BM25 and BERT rankings with CombMNZ and ZMUV normalization gave the best reported nDCG and precision on four XMTC datasets, though no single-retriever baselines or significance results are reported.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.IR 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Ranking-based Fusion Algorithms for Extreme Multi-label Text Classification (XMTC)
Fusing BM25 and BERT rankings with CombMNZ and ZMUV normalization gave the best reported nDCG and precision on four XMTC datasets, though no single-retriever baselines or significance results are reported.