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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 201–250 of 4002 papers

TitleStatusHype
PBoS: Probabilistic Bag-of-Subwords for Generalizing Word EmbeddingCode1
Phonetic Word EmbeddingsCode1
Pre-training and Diagnosing Knowledge Base Completion ModelsCode1
Pretraining Federated Text Models for Next Word PredictionCode1
Probing BERT in Hyperbolic SpacesCode1
PWESuite: Phonetic Word Embeddings and Tasks They FacilitateCode1
Cooperative Self-training of Machine Reading ComprehensionCode1
Refinement of Unsupervised Cross-Lingual Word EmbeddingsCode1
Cross-Lingual Word Embedding Refinement by _1 Norm OptimisationCode1
Rethinking Positional Encoding in Language Pre-trainingCode1
Revisiting Simple Neural Probabilistic Language ModelsCode1
Understanding Linearity of Cross-Lingual Word Embedding MappingsCode1
SanskritShala: A Neural Sanskrit NLP Toolkit with Web-Based Interface for Pedagogical and Annotation PurposesCode1
Self-Supervised Euphemism Detection and Identification for Content ModerationCode1
Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM NetworkCode1
Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR ErrorsCode1
ADEPT: A DEbiasing PrompT FrameworkCode1
Short Text Clustering via Convolutional Neural NetworksCode1
Speech2Vec: A Sequence-to-Sequence Framework for Learning Word Embeddings from SpeechCode1
Spiking Convolutional Neural Networks for Text ClassificationCode1
Circumventing Concept Erasure Methods For Text-to-Image Generative ModelsCode1
Structured Pruning of Large Language ModelsCode1
CTRAN: CNN-Transformer-based Network for Natural Language UnderstandingCode1
Topic Modeling in Embedding SpacesCode1
Towards Debiasing Sentence RepresentationsCode1
Towards Fair and Explainable AI using a Human-Centered AI ApproachCode1
CODER: Knowledge infused cross-lingual medical term embedding for term normalizationCode1
Transferring Knowledge Distillation for Multilingual Social Event DetectionCode1
TU Wien @ TREC Deep Learning '19 -- Simple Contextualization for Re-rankingCode1
Two-Level Transformer and Auxiliary Coherence Modeling for Improved Text SegmentationCode1
Understanding the Downstream Instability of Word EmbeddingsCode1
Understanding the Origins of Bias in Word EmbeddingsCode1
Combining Static Word Embeddings and Contextual Representations for Bilingual Lexicon InductionCode1
Combining Self-Training and Self-Supervised Learning for Unsupervised Disfluency DetectionCode1
Compass-aligned Distributional Embeddings for Studying Semantic Differences across CorporaCode1
Unsupervised Multilingual Word Embedding with Limited Resources using Neural Language ModelsCode1
Adapting Text Embeddings for Causal InferenceCode1
Comparative Evaluation of Pretrained Transfer Learning Models on Automatic Short Answer GradingCode1
FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input RepresentationsCode1
Decoupled Textual Embeddings for Customized Image GenerationCode1
Contextual Word Representations: A Contextual IntroductionCode1
comp-syn: Perceptually Grounded Word Embeddings with ColorCode1
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias MitigationCode1
Hierarchical Density Order EmbeddingsCode1
Adversarial Training for Commonsense InferenceCode1
Conditional probing: measuring usable information beyond a baselineCode1
Multimodal Word DistributionsCode1
WordBias: An Interactive Visual Tool for Discovering Intersectional Biases Encoded in Word EmbeddingsCode1
Contextualized Diachronic Word RepresentationsCode0
An Embedded Diachronic Sense Change Model with a Case Study from Ancient GreekCode0
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