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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

Showing 101150 of 4002 papers

TitleStatusHype
Cross-Lingual Word Embedding Refinement by _1 Norm OptimisationCode1
Query2Prod2Vec: Grounded Word Embeddings for eCommerceCode1
SA2SL: From Aspect-Based Sentiment Analysis to Social Listening System for Business IntelligenceCode1
Playing Codenames with Language Graphs and Word EmbeddingsCode1
Cross-Lingual Word Embedding Refinement by _1 Norm OptimisationCode1
Revisiting Simple Neural Probabilistic Language ModelsCode1
Probing BERT in Hyperbolic SpacesCode1
VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word RepresentationsCode1
Query2Prod2Vec Grounded Word Embeddings for eCommerceCode1
NuPS: A Parameter Server for Machine Learning with Non-Uniform Parameter AccessCode1
Self-Supervised Euphemism Detection and Identification for Content ModerationCode1
Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP ModelsCode1
Cooperative Self-training of Machine Reading ComprehensionCode1
WordBias: An Interactive Visual Tool for Discovering Intersectional Biases Encoded in Word EmbeddingsCode1
Revisiting Language Encoding in Learning Multilingual RepresentationsCode1
OntoZSL: Ontology-enhanced Zero-shot LearningCode1
A Neural Few-Shot Text Classification Reality CheckCode1
PolyLM: Learning about Polysemy through Language ModelingCode1
Debiasing Pre-trained Contextualised EmbeddingsCode1
Word Alignment by Fine-tuning Embeddings on Parallel CorporaCode1
Can a Fruit Fly Learn Word Embeddings?Code1
Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide ImagesCode1
WARP: Word-level Adversarial ReProgrammingCode1
Shortformer: Better Language Modeling using Shorter InputsCode1
Corrected CBOW Performs as well as Skip-gramCode1
Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence LearningCode1
BERT Goes Shopping: Comparing Distributional Models for Product RepresentationsCode1
Keyword-Guided Neural Conversational ModelCode1
Unmasking Contextual Stereotypes: Measuring and Mitigating BERT’s Gender BiasCode1
Affective and Contextual Embedding for Sarcasm DetectionCode1
Improved Semantic Role Labeling using Parameterized Neighborhood Memory AdaptationCode1
Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLPCode1
IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian LanguagesCode1
CODER: Knowledge infused cross-lingual medical term embedding for term normalizationCode1
“Did you really mean what you said?” : Sarcasm Detection in Hindi-English Code-Mixed Data using Bilingual Word EmbeddingsCode1
Emotion Understanding in Videos Through Body, Context, and Visual-Semantic Embedding LossCode1
Multimodal Metric Learning for Tag-based Music RetrievalCode1
Named Entity Recognition for Social Media Texts with Semantic AugmentationCode1
Combining Self-Training and Self-Supervised Learning for Unsupervised Disfluency DetectionCode1
Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender BiasCode1
Learning Contextualised Cross-lingual Word Embeddings and Alignments for Extremely Low-Resource Languages Using Parallel CorporaCode1
Fair Embedding Engine: A Library for Analyzing and Mitigating Gender Bias in Word EmbeddingsCode1
FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input RepresentationsCode1
Dynamic Contextualized Word EmbeddingsCode1
Applying Occam's Razor to Transformer-Based Dependency Parsing: What Works, What Doesn't, and What is Really NecessaryCode1
PBoS: Probabilistic Bag-of-Subwords for Generalizing Word EmbeddingCode1
UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System MetathesaurusCode1
Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label GraphsCode1
comp-syn: Perceptually Grounded Word Embeddings with ColorCode1
Embedding Words in Non-Vector Space with Unsupervised Graph LearningCode1
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