An Empirical Investigation of Implicit and Explicit Knowledge-Enhanced Methods for Ad Hoc Dataset Retrieval
Relevance
Similarity (geometry)
Empirical Research
DOI:
10.18653/v1/2023.findings-emnlp.957
Publication Date:
2023-12-10T16:58:19Z
AUTHORS (5)
ABSTRACT
Ad hoc dataset retrieval has become an important way of finding data on the Web, where underlying problem is how to measure relevance a query. State-of-the-art solutions for this task are still lexical methods, which cannot capture semantic similarity. Semantics-aware knowledge-enhanced achieved promising results other tasks, have yet be systematically studied specialized task. To fill gap, in paper, we present empirical investigation implement and evaluate, two test collections, set implicit explicit knowledge-enhancement methods various settings. Our reveal unique features suggest interpolation different kinds as current best practice.
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (0)
CITATIONS (0)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....