2 papers
cs.DB2020
Memory-Efficient RkNN Retrieval by Nonlinear k-Distance Approximation
Sandra Obermeier, Max Berrendorf, Peer Kröger
The reverse k-nearest neighbor (RkNN) query is an established query type with various applications reaching from identifying highly influential objects over incrementally updating…
cs.IR2020
Diversity Aware Relevance Learning for Argument Search
Michael Fromm, Max Berrendorf, Sandra Obermeier +2
In this work, we focus on the problem of retrieving relevant arguments for a query claim covering diverse aspects. State-of-the-art methods rely on explicit mappings between claims…