The Lucene for Information Access and Retrieval Research (LIARR) Workshop at SIGIR 2017
By Leif Azzopardi, Matt Crane, Hui Fang, Grant Ingersoll, Jimmy J. Lin, Yashar Moshfeghi, Harrisen Scells, Peilin Yang, Guido Zuccon. 2017
19 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Jimmy J. Lin
- Hui Fang
- Peilin Yang
- Matt Crane
- Zhucheng Tu
- Zeynep Akkalyoncu Yilmaz
- Rodrigo Nogueira
- Sebastian Hofstätter
In Information Systems
- Jimmy J. Lin
- Peilin Yang
- Hui Fang
- Matt Crane
- Rodrigo Nogueira
- Zhucheng Tu
- Zeynep Akkalyoncu Yilmaz
- Wei Yang
Citations in the corpus
- Anserini (2018, background): “He stated that “Lucene is a kit of parts” in the keynote presentation at the SIGIR 2017 LIAAR Workshop [9], and it does not prescribe how one would assemble those parts for various applications.”
- From MAXSCORE to Block-Max Wand: The Story of How Lucene Significantly Improved Query Evaluation Performance (2020, background): “Since then, there has been a resurgence of interest in adopting Lucene for information retrieval research, including a number of workshops that brought together like-minded researchers over the past few years [1,2].”
- An Exploration of Approaches to Integrating Neural Reranking Models in Multi-Stage Ranking Architectures (2017, methodology): “Recent efforts include the Lucene4IR workshop organized by Azzopardi et al. [3], the Lucene for Information Access and Retrieval Research (LIARR) Workshop [2] at SIGIR 2017, and the Anserini IR toolkit built on top of Lucene [24].”