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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 76–100 of 4002 papers

TitleStatusHype
Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM NetworkCode1
ADEPT: A DEbiasing PrompT FrameworkCode1
Combining Self-Training and Self-Supervised Learning for Unsupervised Disfluency DetectionCode1
FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input RepresentationsCode1
AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for Indic LanguagesCode1
Conditional probing: measuring usable information beyond a baselineCode1
Context-aware Feature Generation for Zero-shot Semantic SegmentationCode1
Contextual Word Representations: A Contextual IntroductionCode1
Cooperative Self-training of Machine Reading ComprehensionCode1
Cross-Lingual Word Embedding Refinement by _1 Norm OptimisationCode1
Cross-Lingual Word Embedding Refinement by _1 Norm OptimisationCode1
Zero-Shot Semantic SegmentationCode1
Debiasing Pre-trained Contextualised EmbeddingsCode1
Decoupled Textual Embeddings for Customized Image GenerationCode1
Deep Representation Learning of Electronic Health Records to Unlock Patient Stratification at ScaleCode1
DeFINE: DEep Factorized INput Token Embeddings for Neural Sequence ModelingCode1
Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like BiasesCode1
“Did you really mean what you said?” : Sarcasm Detection in Hindi-English Code-Mixed Data using Bilingual Word EmbeddingsCode1
DiffEditor: Enhancing Speech Editing with Semantic Enrichment and Acoustic ConsistencyCode1
Adversarial Training for Commonsense InferenceCode1
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias MitigationCode1
Dynamic Contextualized Word EmbeddingsCode1
Effective Seed-Guided Topic Discovery by Integrating Multiple Types of ContextsCode1
Embarrassingly Simple Unsupervised Aspect ExtractionCode1
All Word Embeddings from One EmbeddingCode1
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