MG4J at TREC 2005

By Paolo Boldi, Sebastiano Vigna. 2005

47 citations recorded by the source corpus.

Subfields: Information Retrieval & Search

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Citations in the corpus

Pretrained Transformers for Text Ranking: BERT and Beyond (2020, background): “ight et al., 2012], Terrier [Ounis et al., 2006, Macdonald et al., 2012], ATIRE [Trotman et al., 2012], Ivory [Lin et al., 2009], JASS [Lin and Trotman, 2015], JASSv2 [Trotman and Crane, 2019], MG4J [Boldi and Vigna, 2005], Wumpus,66 and Zettair.67 Until recently, however, few researchers used Lucen”
Anserini (2018, background): “An incomplete list includes Lemur/Indri [38, 39], Galago [15], Terrier [35, 42], ATIRE [51], Ivory [30], JASS [31], MG4J [12], [60, 61].”
Getting More Out of Biomedical Documents with GATE's Full Lifecycle Open Source Text Analytics (2013, methodology): “…did discover that the implementation of sequence operators (a mechanism for representing longer structures than is typical in word-level indexing systems) in MG4J [50] was sufficiently efficient to represent a possible solution, and this is how we implemented the annotation graph support in Mı´mir.”
The Probabilistic Relevance Framework: BM25 and Beyond (2009, methodology): “As far as we know only the MG4J [9, 34] fully implements BM25F (version 2.”
Knowledge Graph and Corpus Driven Segmentation and Answer Inference for Telegraphic Entity-seeking Queries (2014, methodology): “We used an MG4J (Boldi and Vigna, 2005) based query processor, written in Java, over entity and word indices on ClueWeb09B.”
Toward Reproducible Baselines: The Open-Source IR Reproducibility Challenge (2016, methodology): “In total, developers from seven open-source systems participated (in alphabetical order): ATIRE [16], Galago [6], Indri [10,12], JASS [9], Lucene [2], MG4J [3], and Terrier [14].”
Learning joint query interpretation and response ranking (2012, methodology): “Our query processor is implemented using MG4J [9] in Java, with no index caching.”