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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 376–400 of 4002 papers

TitleStatusHype
Spatio-temporal Sign Language Representation and Translation—0
Tracking Semantic Shifts in German Court Decisions with Diachronic Word EmbeddingsCode0
Learning Object-Language Alignments for Open-Vocabulary Object DetectionCode1
Semantic Guided Level-Category Hybrid Prediction Network for Hierarchical Image Classification—0
SexWEs: Domain-Aware Word Embeddings via Cross-lingual Semantic Specialisation for Chinese Sexism Detection in Social MediaCode0
ALIGN-MLM: Word Embedding Alignment is Crucial for Multilingual Pre-trainingCode1
Mind Your Bias: A Critical Review of Bias Detection Methods for Contextual Language ModelsCode0
Investigating the Frequency Distortion of Word Embeddings and Its Impact on Bias MetricsCode0
Improving word mover's distance by leveraging self-attention matrixCode1
ADEPT: A DEbiasing PrompT FrameworkCode1
Combining Contrastive Learning and Knowledge Graph Embeddings to develop medical word embeddings for the Italian language—0
Hyperbolic Centroid Calculations for Text Classification—0
Using Large Pre-Trained Language Model to Assist FDA in Premarket Medical Device—0
Improving Bilingual Lexicon Induction with Cross-Encoder RerankingCode1
Using Context-to-Vector with Graph Retrofitting to Improve Word EmbeddingsCode1
Analyzing Acoustic Word Embeddings from Pre-trained Self-supervised Speech Models—0
Feature Engineering vs BERT on Twitter Data—0
MorphTE: Injecting Morphology in Tensorized EmbeddingsCode1
Leveraging knowledge graphs to update scientific word embeddings using latent semantic imputation—0
Sinhala Sentence Embedding: A Two-Tiered Structure for Low-Resource Languages—0
A Robust Bias Mitigation Procedure Based on the Stereotype Content ModelCode0
On the Curious Case of _2 norm of Sense Embeddings—0
Discovering Differences in the Representation of People using Contextualized Semantic AxesCode1
Fine-mixing: Mitigating Backdoors in Fine-tuned Language ModelsCode8
Eye-tracking based classification of Mandarin Chinese readers with and without dyslexia using neural sequence modelsCode0
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