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1704.08424
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Multimodal Word Distributions
27 April 2017
Ben Athiwaratkun
A. Wilson
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Papers citing
"Multimodal Word Distributions"
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Title
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MAP: Multimodal Uncertainty-Aware Vision-Language Pre-training Model
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Uncertainty-based Cross-Modal Retrieval with Probabilistic Representations
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Mix-and-Match: Scalable Dialog Response Retrieval using Gaussian Mixture Embeddings
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06 Apr 2022
SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts
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Multi-facet Universal Schema
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46
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Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised Semantic Applications
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66
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Embedding Words in Non-Vector Space with Unsupervised Graph Learning
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Sergei Popov
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06 Oct 2020
Zero-Shot Clinical Acronym Expansion via Latent Meaning Cells
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Mert Ketenci
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Noémie Elhadad
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29 Sep 2020
Learning Syllogism with Euler Neural-Networks
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Stefan Wrobel
A. Cremers
21
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Learning Probabilistic Sentence Representations from Paraphrases
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What are the Goals of Distributional Semantics?
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Deep Distributional Sequence Embeddings Based on a Wasserstein Loss
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Niels Landwehr
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Representation Learning with Multisets
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29
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0
19 Nov 2019
Learning Multi-Sense Word Distributions using Approximate Kullback-Leibler Divergence
P. Jayashree
Ballijepalli Shreya
P. K. Srijith
30
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Exploring Kernel Functions in the Softmax Layer for Contextual Word Classification
Yingbo Gao
Christian Herold
Weiyue Wang
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52
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Correlation Coefficients and Semantic Textual Similarity
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Aleksandar Savkov
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Multilingual Factor Analysis
Francisco Vargas
Kamen Brestnichki
Alexandros Papadopoulos-Korfiatis
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19
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Model Comparison for Semantic Grouping
Francisco Vargas
Kamen Brestnichki
Nils Y. Hammerla
26
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30 Apr 2019
Using Multi-Sense Vector Embeddings for Reverse Dictionaries
Michael A. Hedderich
Andrew Yates
Dietrich Klakow
Gerard de Melo
52
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02 Apr 2019
Learning Taxonomies of Concepts and not Words using Contextualized Word Representations: A Position Paper
Lukas Schmelzeisen
Steffen Staab
32
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Poincaré GloVe: Hyperbolic Word Embeddings
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75
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Exploration on Grounded Word Embedding: Matching Words and Images with Image-Enhanced Skip-Gram Model
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Context Mover's Distance & Barycenters: Optimal Transport of Contexts for Building Representations
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Andreas Hug
Aymeric Dieuleveut
Martin Jaggi
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89
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0
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Gaussian Word Embedding with a Wasserstein Distance Loss
Chi Sun
Hang Yan
Xipeng Qiu
Xuanjing Huang
55
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0
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Probabilistic FastText for Multi-Sense Word Embeddings
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Anima Anandkumar
64
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07 Jun 2018
Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions
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Marco Cuturi
73
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From Word to Sense Embeddings: A Survey on Vector Representations of Meaning
Jose Camacho-Collados
Mohammad Taher Pilehvar
97
342
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Hierarchical Density Order Embeddings
Ben Athiwaratkun
A. Wilson
70
43
0
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English Out-of-Vocabulary Lexical Evaluation Task
Han Wang
Ye Wang
Xinxiang Zhang
Mi Lu
Yoonsuck Choe
Jingjing Cao
15
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0
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Efficient Graph-based Word Sense Induction by Distributional Inclusion Vector Embeddings
Haw-Shiuan Chang
Amol Agrawal
Ananya Ganesh
A. Desai
V. Mathur
Alfred Hough
Andrew McCallum
56
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Understanding Actors and Evaluating Personae with Gaussian Embeddings
Hannah Kim
Denys Katerenchuk
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Jun Huan
Haesun Park
Boyang Albert Li
23
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Neural Lattice Language Models
Jacob Buckman
Graham Neubig
63
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Embedding Words as Distributions with a Bayesian Skip-gram Model
Arthur Brazinskas
Serhii Havrylov
Ivan Titov
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49
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0
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Robust Multilingual Part-of-Speech Tagging via Adversarial Training
Michihiro Yasunaga
Jungo Kasai
Dragomir R. Radev
66
104
0
14 Nov 2017
Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection
Haw-Shiuan Chang
ZiYun Wang
Luke Vilnis
Andrew McCallum
93
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Generative Models of Visually Grounded Imagination
Ramakrishna Vedantam
Ian S. Fischer
Jonathan Huang
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101
139
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