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We present LINSPECTOR WEB, an open source multilingual inspector to analyze word representations.
Linspector: Multilingual probing tasks for word representations
Gözde Gül Şahin, Clara Vania, Ilia Kuznetsov, and Iryna Gurevych. 2019 · 1903
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Dynamic conditional random fields: Factorized probabilistic models for labeling and segmenting sequence data
Charles A. Sutton, Andrew McCallum, and Khashayar Rohanimanesh. 2007 · 2007
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Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013 · 2013
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Community evaluation and exchange of word vectors at wordvectors.org
Manaal Faruqui and Chris Dyer. 2014a · 2014
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Improving vector space word representations using multilingual correlation
Manaal Faruqui and Chris Dyer. 2014b · 2014
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Dependency-based word embeddings
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Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
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Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. 2016 · 2016
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Yossi Adi, Einat Kermany, Yonatan Belinkov, Ofer Lavi, and Yoav Goldberg. 2017 · 2017
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What you can cram into a single \$&!#* vector: Probing sentence embeddings for linguistic properties
Alexis Conneau, Germán Kruszewski, Guillaume Lample, Loïc Barrault, and Marco Baroni. 2018 · 2018
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Allennlp: A deep semantic natural language processing platform
Matt Gardner, Joel Grus, Mark Neumann, Oyvind Tafjord, Pradeep Dasigi, Nelson Liu, Matthew Peters, Michael Schmitz, and Luke Zettlemoyer. 2018 · 2018
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Proceedings of the 2018 emnlp workshop blackboxnlp: Analyzing and interpreting neural networks for nlp
Tal Linzen, Grzegorz Chrupała, and Afra Alishahi. 2018 · 2018
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Deep contextualized word representations
Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
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Analysis methods in neural language processing: A survey
Yonatan Belinkov and James Glass. 2019 · 2019
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