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Motivations like domain adaptation, transfer learning, and feature learning have fueled interest in inducing embeddings for rare or unseen words, n-grams, synsets, and other textual features.
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Semeval-2013 task 12: Multilingual word sense disambiguation
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Recursive deep models for semantic compositionality over a sentiment treebank
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Learning to predict distributions of words across domains
Danushka Bollegala, David Weir, and John Carroll. 2014 · 2014
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Manaal Faruqui and Chris Dyer. 2014 · 2014
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D. Manning. 2014 · 2014
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An exploration of embeddings for generalized phrases
Wenpeng Yin and Hinrich Schutze. 2014 · 2014
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Ignacio Iacobacci, Mohammad Taher Pilehvar, and Roberto Navigli. 2015 · 2015
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Ryan Kiros, Yukun Zhu, Ruslan Salakhutdinov, Richard S. Zemel, Antonio Torralba, Raquel Urtasun, and Sanja Fidler. 2015 · 2015
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Joint learning of the embedding of words and entities for named entity disambiguation
Ikuya Yamada, Hiroyuki Shindo, Hideaki Takeda, and Yoshiyasu Takefuji. 2016 · 2016
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Cross-lingual word embeddings for low-resource language modeling
Oliver Adams, Adam Makarucha, Graham Neubig, Steven Bird, and Trevor Cohn. 2017 · 2017
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A simple but tough-to-beat baseline for sentence embeddings
Sanjeev Arora, Yingyu Liang, and Tengyu Ma. 2017 · 2017
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Semeval-2017 task 1: Semantic textual similarity multilingual and cross-lingual focused evaluation
Daniel Cer, Eneko Agirre, Iñigo Lopez-Gazpio, and Lucia Specia. 2017 · 2017
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Andrea Moro and Roberto Navigli. 2015 · 2015
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Sascha Rothe and Hinrich Schütze. 2015 · 2015
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Sanjeev Arora, Yuanzhi Li, Yingyu Liang, Tengyu Ma, and Andrej Risteski. 2016 · 2016
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Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. 2016 · 2016
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Efficient, compositional, order-sensitive n-gram embeddings
Adam Poliak, Pushpendre Rastogia, M. Patrick Martin, and Benjamin Van Durme. 2017 · 2017
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Learning to generate reviews and discovering sentiment
Alec Radford, Rafal Jozefowicz, and Ilya Sutskever. 2017 · 2017
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Neural sequence learning models for word sense disambiguation
Alessandro Raganato, Claudio Delli Bovi, and Roberto Navigli. 2017 · 2017
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A multi-task learning approach to adapting bilingual word embeddings for cross-lingual named entity recognition
Dingquan Wang, Nanyun Peng, and Kevin Duh. 2017 · 2017
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Starspace: Embed all the things!
Ledell Wu, Adam Fisch, Sumit Chopra, Keith Adams, Antoine Bordes, and Jason Weston. 2017 · 2017
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An efficient framework for learning sentence representations
Lajanugen Logeswaran and Honglak Lee. 2018 · 2018
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Jiaqi Mu and Pramod Viswanath. 2018 · 2018
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Unsupervised learning of sentence embeddings using compositional n-gram features
Matteo Pagliardini, Prakhar Gupta, and Martin Jaggi. 2018 · 2018
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