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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
DeepEmo: Learning and Enriching Pattern-Based Emotion RepresentationsCode0
Deep Image-to-Recipe TranslationCode0
Deep Text Mining of Instagram Data Without Strong SupervisionCode0
Deriving Word Vectors from Contextualized Language Models using Topic-Aware Mention SelectionCode0
Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language ModelsCode0
Debiasing Sentence Embedders through Contrastive Word PairsCode0
Debiasing Convolutional Neural Networks via Meta OrthogonalizationCode0
A Part-of-Speech Tagger for YiddishCode0
Debiasing Multilingual Word Embeddings: A Case Study of Three Indian LanguagesCode0
Debiasing Word Embeddings with Nonlinear GeometryCode0
Data-driven models and computational tools for neurolinguistics: a language technology perspectiveCode0
DALLMi: Domain Adaption for LLM-based Multi-label ClassifierCode0
Acquiring Common Sense Spatial Knowledge through Implicit Spatial TemplatesCode0
Data-Driven Detection of General Chiasmi Using Lexical and Semantic FeaturesCode0
DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment AnalysisCode0
DebIE: A Platform for Implicit and Explicit Debiasing of Word Embedding SpacesCode0
An Unsupervised Neural Attention Model for Aspect ExtractionCode0
A Hybrid Approach for Aspect-Based Sentiment Analysis Using Deep Contextual Word Embeddings and Hierarchical AttentionCode0
CS-Embed at SemEval-2020 Task 9: The effectiveness of code-switched word embeddings for sentiment analysisCode0
Cross-Lingual Word Representations via Spectral Graph EmbeddingsCode0
Contextually Propagated Term Weights for Document RepresentationCode0
Crossmodal ASR Error Correction with Discrete Speech UnitsCode0
Acoustic word embeddings for zero-resource languages using self-supervised contrastive learning and multilingual adaptationCode0
Cross-lingual Models of Word Embeddings: An Empirical ComparisonCode0
A Hierarchically-Labeled Portuguese Hate Speech DatasetCode0
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