We regarded information retrieval as a graph search problem and proposed several novel dialog strategies that can recover from misrecognition through a spoken dialog that traverse...
Numerous studies have examined the ability of query performance prediction methods to estimate a query’s quality for system effectiveness measures (such as average precision). ...
Claudia Hauff, Franciska de Jong, Diane Kelly, Lei...
Stemming algorithms find canonical forms for inflected words, e. g. for declined nouns or conjugated verbs. Since such a unification of words with respect to gender, number, time, ...
Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...
We propose a framework for searching the Wikipedia with contextual information. Our framework extends the typical keyword search, by considering queries of the type q, p , where q...
Antti Ukkonen, Carlos Castillo, Debora Donato, Ari...