59 citations · 188 across the 14 of their papers we have counts for
14 papers
ORCAS-I: Queries Annotated with Intent using Weak Supervision
Daria Alexander, Wojciech Kusa, Arjen P. de Vries
User intent classification is an important task in information retrieval. In this work, we introduce a revised taxonomy of user intent. We take the widely used differentiation betw…
Conversational Entity Linking: Problem Definition and Datasets
Hideaki Joko, Faegheh Hasibi, Krisztian Balog +1
Machine understanding of user utterances in conversational systems is of utmost importance for enabling engaging and meaningful conversations with users. Entity Linking (EL) is one…
Exploring task-based query expansion at the TREC-COVID track
Thomas Schoegje, Chris Kamphuis, Koen Dercksen +3
We explore how to generate effective queries based on search tasks. Our approach has three main steps: 1) identify search tasks based on research goals, 2) manually classify search…
REL: An Entity Linker Standing on the Shoulders of Giants
Johannes M. van Hulst, Faegheh Hasibi, Koen Dercksen +2
Entity linking is a standard component in modern retrieval system that is often performed by third-party toolkits. Despite the plethora of open source options, it is difficult to f…
Graph-Embedding Empowered Entity Retrieval
Emma J. Gerritse, Faegheh Hasibi, Arjen P. de Vries
In this research, we improve upon the current state of the art in entity retrieval by re-ranking the result list using graph embeddings. The paper shows that graph embeddings are u…
Supporting Interoperability Between Open-Source Search Engines with the Common Index File Format
Jimmy Lin, Joel Mackenzie, Chris Kamphuis +5
There exists a natural tension between encouraging a diverse ecosystem of open-source search engines and supporting fair, replicable comparisons across those systems. To balance th…