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We introduce second-order vector representations of words, induced from nearest neighborhood topological features in pre-trained contextual word embeddings.
Ohio Supercomputer Center, 1987
Ohio Supercomputer Center · 1987
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A Neural Probabilistic Language Model
Yoshua Bengio, Réjean Ducharme, Pascal Vincent, and Christian Jauvin · 2003
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Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition
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Unsupervised Construction of Large Paraphrase Corpora: Exploiting Massively Parallel News Sources
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LIBLINEAR: A Library for Large Linear Classification
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From Frequency to Meaning: Vector Space Models of Semantics
Peter D Turney and Patrick Pantel · 2010
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Word Representations: A Simple and General Method for Semi-Supervised Learning
Joseph Turian, Lev-Arie Ratinov, and Yoshua Bengio · 2010
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Efficient Estimation of Word Representations in Vector Space
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Linguistic Regularities in Continuous Space Word Representations
Tomas Mikolov, Wen-tau Yih, and Geoffrey Zweig · 2013
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Better Word Representations with Recursive Neural Networks for Morphology
Thang Luong, Richard Socher, and Christopher Manning · 2013
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Glove: Global Vectors for Word Representation
Jeffrey Pennington, Richard Socher, and Christopher D. Manning · 2014
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Dependency-Based Word Embeddings
Omer Levy and Yoav Goldberg · 2014
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Improving Vector Space Word Representations Using Multilingual Correlation
Manaal Faruqui and Chris Dyer · 2014
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Probabilistic Modeling of Joint-context in Distributional Similarity
Oren Melamud, Ido Dagan, Jacob Goldberger, Idan Szpektor, and Deniz Yuret · 2014
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Retrofitting Word Vectors to Semantic Lexicons
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Alona Fyshe, Leila Wehbe, Partha P Talukdar, Brian Murphy, and Tom M Mitchell · 2015
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Ryan Cotterell and Hinrich Schütze · 2015
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Deep Multilingual Correlation for Improved Word Embeddings
Ang Lu, Weiran Wang, Mohit Bansal, Kevin Gimpel, and Karen Livescu · 2015
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Cross-lingual Models of Word Embeddings: An Empirical Comparison
Shyam Upadhyay, Manaal Faruqui, Chris Dyer, and Dan Roth · 2016
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Counter-fitting Word Vectors to Linguistic Constraints
Nikola Mrkšić, Diarmuid Ó Séaghdha, Blaise Thomson, Milica Gašić, Lina Rojas-Barahona, Pei-Hao Su, David Vandyke, Tsung-Hsien Wen, and Steve Young · 2016
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Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning
Yulia Tsvetkov, Manaal Faruqui, Wang Ling, Brian MacWhinney, and Chris Dyer · 2016
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Ultradense Word Embeddings by Orthogonal Transformation
Sascha Rothe, Sebastian Ebert, and Hinrich Schütze · 2016
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Yitong Li, Trevor Cohn, and Timothy Baldwin · 2016
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Intrinsic Evaluation of Word Vectors Fails to Predict Extrinsic Performance
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Samuel R Bowman, Gabor Angeli, Christopher Potts, and Christopher D Manning · 2015
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Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change
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Long Short-Term Memory-Networks for Machine Reading
Jianpeng Cheng, Li Dong, and Mirella Lapata · 2016
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The Interplay of Semantics and Morphology in Word Embeddings
Oded Avraham and Yoav Goldberg · 2017
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Cross-Lingual Syntactically Informed Distributed Word Representations
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