Embedding Words as Distributions with a Bayesian Skip-gram Model

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Embedding Words as Distributions with a Bayesian Skip-gram Model

29 November 2017

Arthur Brazinskas

Serhii Havrylov

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Papers citing "Embedding Words as Distributions with a Bayesian Skip-gram Model"

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Title
Word Embedding with Neural Probabilistic Prior Shaogang Ren Dingcheng Li P. Li BDL 47 0 0 21 Sep 2023
Representation Learning via Variational Bayesian Networks Oren Barkan Avi Caciularu Idan Rejwan Ori Katz Jonathan Weill Itzik Malkiel Noam Koenigstein BDL 93 15 0 28 Jun 2023
The Conceptual VAE R. A. Shaikh Sara Sabrina Zemljič Sean Tull S. Clark 76 4 0 21 Mar 2022
Interpreting Deep Learning Models in Natural Language Processing: A Review Xiaofei Sun Diyi Yang Xiaoya Li Tianwei Zhang Yuxian Meng Han Qiu Guoyin Wang Eduard H. Hovy Jiwei Li 97 46 0 20 Oct 2021
Shades of confusion: Lexical uncertainty modulates ad hoc coordination in an interactive communication task Sonia K. Murthy Thomas Griffiths Robert D. Hawkins 46 9 0 13 May 2021
Latte-Mix: Measuring Sentence Semantic Similarity with Latent Categorical Mixtures Minghan Li He Bai Luchen Tan Kun Xiong Ming Li Jimmy J. Lin FedML 32 0 0 21 Oct 2020
Zero-Shot Clinical Acronym Expansion via Latent Meaning Cells Griffin Adams Mert Ketenci Shreyas Bhave A. Perotte Noémie Elhadad BDL 29 0 0 29 Sep 2020
What are the Goals of Distributional Semantics? Guy Edward Toh Emerson 85 26 0 06 May 2020
Interpretable Word Embeddings via Informative Priors Miriam Hurtado Bodell Martin Arvidsson Måns Magnusson 69 18 0 03 Sep 2019
Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings Alexander I. Cowen-Rivers Pasquale Minervini Tim Rocktaschel Matko Bosnjak Sebastian Riedel Jun Wang BDL 60 4 0 12 Jun 2019
Deep Generative Model for Joint Alignment and Word Representation Miguel Rios Wilker Aziz K. Simaán 74 4 0 16 Feb 2018