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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 551–575 of 4002 papers

TitleStatusHype
Caveats of Measuring Semantic Change of Cognates and Borrowings using Multilingual Word EmbeddingsCode0
Sense Embeddings are also Biased – Evaluating Social Biases in Static and Contextualised Sense Embeddings—0
Binary Encoded Word Mover’s Distance—0
Improving Relation Extraction through Syntax-induced Pre-training with Dependency MaskingCode0
SSNCSE_NLP@LT-EDI-ACL2022: Homophobia/Transphobia Detection in Multiple Languages using SVM Classifiers and BERT-based Transformers—0
Learning Bias-reduced Word Embeddings Using Dictionary DefinitionsCode1
Estimating word co-occurrence probabilities from pretrained static embeddings using a log-bilinear model—0
Roadblocks in Gender Bias Measurement for Diachronic CorporaCode0
Evaluating Biomedical Word Embeddings for Vocabulary Alignment at Scale in the UMLS Metathesaurus Using Siamese Networks—0
“Vaderland”, “Volk” and “Natie”: Semantic Change Related to Nationalism in Dutch Literature Between 1700 and 1880 Captured with Dynamic Bernoulli Word Embeddings—0
A Neural Model for Compositional Word Embeddings and Sentence Processing—0
Unsupervised Geometric and Topological Approaches for Cross-Lingual Sentence Representation and Comparison—0
Can We Use Word Embeddings for Enhancing Guarani-Spanish Machine Translation?Code0
Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling—0
A Survey on Sentence Embedding Models Performance for Patent AnalysisCode0
Extremal GloVe: Theoretically Accurate Distributed Word Embedding by Tail Inference—0
RankMat : Matrix Factorization with Calibrated Distributed Embedding and Fairness Enhancement—0
Word Embeddings and Validity Indexes in Fuzzy Clustering—0
From Hyperbolic Geometry Back to Word EmbeddingsCode0
Approach to Predicting News -- A Precise Multi-LSTM Network With BERTCode0
Learning Meta Word Embeddings by Unsupervised Weighted Concatenation of Source Embeddings—0
A Survey on Word Meta-Embedding Learning—0
Emotion-Aware Transformer Encoder for Empathetic Dialogue GenerationCode1
Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for TopicsCode1
Towards Arabic Sentence Simplification via Classification and Generative ApproachesCode0
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