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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 3226–3250 of 4002 papers

TitleStatusHype
Intelligent Word Embeddings of Free-Text Radiology ReportsCode0
Concatenated Power Mean Word Embeddings as Universal Cross-Lingual Sentence RepresentationsCode0
Interactive Refinement of Cross-Lingual Word EmbeddingsCode0
Compressing Word Embeddings via Deep Compositional Code LearningCode0
Learning Embeddings into Entropic Wasserstein SpacesCode0
Deep Text Mining of Instagram Data Without Strong SupervisionCode0
Deep Unordered Composition Rivals Syntactic Methods for Text ClassificationCode0
Deep word embeddings for visual speech recognitionCode0
Inter and Intra Topic Structure Learning with Word EmbeddingsCode0
Def2Vec: Extensible Word Embeddings from Dictionary DefinitionsCode0
Compressing Neural Language Models by Sparse Word RepresentationsCode0
Definition Frames: Using Definitions for Hybrid Concept RepresentationsCode0
Definition Modeling: Learning to define word embeddings in natural languageCode0
Word2Vec applied to Recommendation: Hyperparameters MatterCode0
DefSent+: Improving sentence embeddings of language models by projecting definition sentences into a quasi-isotropic or isotropic vector space of unlimited dictionary entriesCode0
Degree-Aware Alignment for Entities in TailCode0
Towards a unified framework for bilingual terminology extraction of single-word and multi-word termsCode0
An Interpretable and Uncertainty Aware Multi-Task Framework for Multi-Aspect Sentiment AnalysisCode0
A quantitative study of NLP approaches to question difficulty estimationCode0
Weakly Supervised Deep Hyperspherical Quantization for Image RetrievalCode0
Approach to Predicting News -- A Precise Multi-LSTM Network With BERTCode0
Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across LanguagesCode0
GraphTMT: Unsupervised Graph-based Topic Modeling from Video TranscriptsCode0
Density Matching for Bilingual Word EmbeddingCode0
Analysing Word Representation from the Input and Output Embeddings in Neural Network Language ModelsCode0
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