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Word Embeddings

Word embedding is the collective name for a set of language modeling and feature learning techniques in natural language processing (NLP) where words or phrases from the vocabulary are mapped to vectors of real numbers.

Techniques for learning word embeddings can include Word2Vec, GloVe, and other neural network-based approaches that train on an NLP task such as language modeling or document classification.

( Image credit: Dynamic Word Embedding for Evolving Semantic Discovery )

Papers

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Showing 2676–2700 of 4002 papers

TitleStatusHype
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision—0
How direct is the link between words and images?—0
Visual Grounding of Inter-lingual Word-Embeddings—0
Visualising WordNet Embeddings: some preliminary results—0
Visualizing Linguistic Shift—0
Visualizing Temporal Topic Embeddings with a Compass—0
Visually Aligned Word Embeddings for Improving Zero-shot Learning—0
Visually Grounded Word Embeddings and Richer Visual Features for Improving Multimodal Neural Machine Translation—0
Visual Question Answering with Prior Class Semantics—0
Visual Relationship Detection with Language Priors—0
Learning Predicates as Functions to Enable Few-shot Scene Graph Prediction—0
Visual-Semantic Embedding Model Informed by Structured Knowledge—0
Visual Storytelling via Predicting Anchor Word Embeddings in the Stories—0
Visual Summarization of Scholarly Videos using Word Embeddings and Keyphrase Extraction—0
Visual-Textual Attentive Semantic Consistency for Medical Report Generation—0
VITRO: Vocabulary Inversion for Time-series Representation Optimization—0
Vocab-Expander: A System for Creating Domain-Specific Vocabularies Based on Word Embeddings—0
Vocabulary Adaptation for Distant Domain Adaptation in Neural Machine Translation—0
Vocabulary-informed Language Encoding—0
Volatility Prediction using Financial Disclosures Sentiments with Word Embedding-based IR Models—0
Voting for POS tagging of Latin texts: Using the flair of FLAIR to better Ensemble Classifiers by Example of Latin—0
VSP at PharmaCoNER 2019: Recognition of Pharmacological Substances, Compounds and Proteins with Recurrent Neural Networks in Spanish Clinical Cases—0
WarwickDCS: From Phrase-Based to Target-Specific Sentiment Recognition—0
Wasserstein Barycenter Model Ensembling—0
Wasserstein distances for evaluating cross-lingual embeddings—0
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