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Distributed representations of words have shown to be useful to improve the effectiveness of IR systems in many sub-tasks like query expansion, retrieval and ranking.
Characterization of two new experimental collections in computer and information science containing textual and bibliographic concepts
Edward A Fox · 1983
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Wordnet: a lexical database for english
George A Miller · 1995
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Rosalind W. Picard · 1997
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Clueweb09 data set, 2009
Jamie Callan, Mark Hoy, Changkuk Yoo, and Le Zhao · 2009
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Andrzej Białecki, Robert Muir, Grant Ingersoll, and Lucid Imagination · 2012
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Efficient estimation of word representations in vector space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean · 2013
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Norms of valence, arousal, and dominance for 13,915 english lemmas
Amy Beth Warriner, Victor Kuperman, and Marc Brysbaert · 2013
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning · 2014
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Revisiting word embedding for contrasting meaning
Zhigang Chen, Wei Lin, Qian Chen, Xiaoping Chen, Si Wei, Hui Jiang, and Xiaodan Zhu · 2015
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Retrofitting word vectors to semantic lexicons
Manaal Faruqui, Jesse Dodge, Sujay Kumar Jauhar, Chris Dyer, Eduard Hovy, and Noah A Smith · 2015
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Evaluation methods for unsupervised word embeddings
Tobias Schnabel, Igor Labutov, David Mimno, and Thorsten Joachims · 2015
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Generating synonyms using word vectors and an easy-to-read corpus
Linnea Fornander, Marc Friberg, Vida Johansson, V Lindh-Håård, Pontus Ohlsson, and Ida Palm · 2016
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A dual embedding space model for document ranking
Bhaskar Mitra, Eric Nalisnick, Nick Craswell, and Rich Caruana · 2016
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Counter-fitting word vectors to linguistic constraints
Nikola Mrkšic, Diarmuid OSéaghdha, Blaise Thomson, Milica Gašic, Lina Rojas-Barahona, Pei-Hao Su, David Vandyke, Tsung-Hsien Wen, and Steve Young · 2016
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Lucene4ir: Developing information retrieval evaluation resources using lucene
Leif Azzopardi, Yashar Moshfeghi, Martin Halvey, Rami S Alkhawaldeh, Krisztian Balog, Emanuele Di Buccio, Diego Ceccarelli, Juan M Fernández-Luna, Charlie Hull, Jake Mannix, et al · 2017
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Word embeddings for practical information retrieval
Lukas Galke, Ahmed Saleh, and Ansgar Scherp · 2017
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Toward incorporation of relevant documents in word2vec
Navid Rekabsaz, Bhaskar Mitra, Mihai Lupu, and Allan Hanbury · 2017
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Dict2vec: Learning word embeddings using lexical dictionaries
Julien Tissier, Christophe Gravier, and Amaury Habrard · 2017
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Dict2vec : Learning word embeddings using lexical dictionaries
Julien Tissier, Christopher Gravier, and Amaury Habrard · 2017
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Kim Anh Nguyen, Sabine Schulte im Walde, and Ngoc Thang Vu · 2016
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Representing documents and queries as sets of word embedded vectors for information retrieval
Dwaipayan Roy, Debasis Ganguly, Mandar Mitra, and Gareth JF Jones · 2016
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Using word embeddings for automatic query expansion
Dwaipayan Roy, Debjyoti Paul, Mandar Mitra, and Utpal Garain · 2016
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Trec 2017 common core track overview
James Allan, Donna Harman, Evangelos Kanoulas, Dan Li, Christophe Van Gysel, and Ellen Vorhees · 2017
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Anserini: Enabling the use of lucene for information retrieval research
Peilin Yang, Hui Fang, and Jimmy Lin · 2017
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Relevance-based word embedding
Hamed Zamani and W Bruce Croft · 2017
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Aff2vec: Affect–enriched distributional word representations
Sopan Khosla, Niyati Chhaya, and Kushal Chawla · 2018
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