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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 2001–2025 of 4002 papers

TitleStatusHype
Discretely Coding Semantic Rank Orders for Supervised Image Hashing—0
Discrete Wavelet Transform for Efficient Word Embeddings and Sentence Encoding—0
Discriminative Acoustic Word Embeddings: Recurrent Neural Network-Based Approaches—0
Discriminative Pre-training for Low Resource Title Compression in Conversational Grocery—0
Disentangling continuous and discrete linguistic signals in transformer-based sentence embeddings—0
Dissecting Contextual Word Embeddings: Architecture and Representation—0
Distance Metric Learning for Aspect Phrase Grouping—0
Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá—0
Improving Word Embedding Factorization for Compression Using Distilled Nonlinear Neural Decomposition—0
Distilled embedding: non-linear embedding factorization using knowledge distillation—0
Distilled Wasserstein Learning for Word Embedding and Topic Modeling—0
Distilling Word Embeddings: An Encoding Approach—0
Distinguishing Japanese Non-standard Usages from Standard Ones—0
Distributed Prediction of Relations for Entities: The Easy, The Difficult, and The Impossible—0
Distributed Representations for Unsupervised Semantic Role Labeling—0
Distributed Vector Representations for Unsupervised Automatic Short Answer Grading—0
Distributed Training of Embeddings using Graph Analytics—0
Distributional Analysis of Polysemous Function Words—0
Distributional Hypernym Generation by Jointly Learning Clusters and Projections—0
Distributional Lesk: Effective Knowledge-Based Word Sense Disambiguation—0
Distributional regularities of verbs and verbal adjectives: Treebank evidence and broader implications—0
Distributional Representations of Words for Short Text Classification—0
Distributional semantic modeling: a revised technique to train term/word vector space models applying the ontology-related approach—0
Distributional Semantics for Neo-Latin—0
Distribution is not enough: going Firther—0
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