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The Lucene for Information Access and Retrieval Research (LIARR) Workshop at SIGIR 2017

Leif Azzopardi, Matt Crane, Hui Fang, Grant Ingersoll, Jimmy Lin, Yashar Moshfeghi, Harrisen Scells, Peilin Yang, Guido Zuccon
2017 Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '17  
option seems far more realistic, and therefore the goal of this workshop is to promote the use of Lucene for information access and retrieval research.  ...  . is was followed up by a workshop on Open Source Information Retrieval (OSIR) at SIGIR 2006, which provided a "forum that allows open source developers, consumers, and researchers to interact to coordinate  ... 
doi:10.1145/3077136.3084374 dblp:conf/sigir/AzzopardiC0ILMS17 fatcat:6irhi6pz4rahni4n3idjx4tv5e

Solr Integration in the Anserini Information Retrieval Toolkit

Ryan Clancy, Toke Eskildsen, Nick Ruest, Jimmy Lin
2019 Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR'19  
Anserini is an open-source information retrieval toolkit built around Lucene to facilitate replicable research.  ...  In this demonstration, we examine different architectures for Solr integration in order to address two current limitations of the system: the lack of an interactive search interface and support for distributed  ...  This work was supported in part by the Natural Sciences and Engineering Research Council (NSERC) of Canada, the Canada Foundation for Innovation Leaders Fund, and the Ontario Research Fund.  ... 
doi:10.1145/3331184.3331401 dblp:conf/sigir/ClancyERL19 fatcat:j6afggtnf5fajlvehbd5olc7n4

An Exploration of Approaches to Integrating Neural Reranking Models in Multi-Stage Ranking Architectures [article]

Zhucheng Tu, Matt Crane, Royal Sequiera, Junchen Zhang, Jimmy Lin
2017 arXiv   pre-print
Therefore, we can extract the parameters of a trained CNN from PyTorch and import the model into Java, taking advantage of the Java Deeplearning4J library for feedforward evaluation.  ...  We explore different approaches to integrating a simple convolutional neural network (CNN) with the Lucene search engine in a multi-stage ranking architecture.  ...  [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] .  ... 
arXiv:1707.08275v1 fatcat:doxpaqytlze6bo5gjynadeeibe