SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 4002 papers

TitleStatusHype
Combining Static Word Embeddings and Contextual Representations for Bilingual Lexicon InductionCode1
Entity Resolution with Hierarchical Graph Attention NetworksCode1
Fair Embedding Engine: A Library for Analyzing and Mitigating Gender Bias in Word EmbeddingsCode1
Circumventing Concept Erasure Methods For Text-to-Image Generative ModelsCode1
FreeLB: Enhanced Adversarial Training for Natural Language UnderstandingCode1
From Word Embeddings to Item RecommendationCode1
Gender Bias in Contextualized Word EmbeddingsCode1
CODER: Knowledge infused cross-lingual medical term embedding for term normalizationCode1
A Graph Convolutional Topic Model for Short and Noisy Text StreamsCode1
Graph-Embedding Empowered Entity RetrievalCode1
A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddingsCode1
Hierarchical Density Order EmbeddingsCode1
Comparative Evaluation of Pretrained Transfer Learning Models on Automatic Short Answer GradingCode1
Brain2Word: Decoding Brain Activity for Language GenerationCode1
BERT for Monolingual and Cross-Lingual Reverse DictionaryCode1
Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP ModelsCode1
BERT Goes Shopping: Comparing Distributional Models for Product RepresentationsCode1
Can a Fruit Fly Learn Word Embeddings?Code1
GLOW : Global Weighted Self-Attention Network for Web SearchCode1
Affective and Contextual Embedding for Sarcasm DetectionCode1
A Comprehensive Analysis of Static Word Embeddings for TurkishCode1
Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM NetworkCode1
AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for Indic LanguagesCode1
Combining Self-Training and Self-Supervised Learning for Unsupervised Disfluency DetectionCode1
FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input RepresentationsCode1
Compass-aligned Distributional Embeddings for Studying Semantic Differences across CorporaCode1
ALL-IN-1: Short Text Classification with One Model for All LanguagesCode1
ALIGN-MLM: Word Embedding Alignment is Crucial for Multilingual Pre-trainingCode1
Adversarial Training for Commonsense InferenceCode1
Contextualized Embeddings based Transformer Encoder for Sentence Similarity Modeling in Answer Selection TaskCode1
Contextual Word Representations: A Contextual IntroductionCode1
Cooperative Self-training of Machine Reading ComprehensionCode1
Cross-Lingual Word Embedding Refinement by _1 Norm OptimisationCode1
CTRAN: CNN-Transformer-based Network for Natural Language UnderstandingCode1
Data Mining in Clinical Trial Text: Transformers for Classification and Question Answering TasksCode1
Debiasing Pre-trained Contextualised EmbeddingsCode1
Zero-Shot Semantic SegmentationCode1
A Neural Few-Shot Text Classification Reality CheckCode1
DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment CorpusCode1
DeFINE: DEep Factorized INput Token Embeddings for Neural Sequence ModelingCode1
Adversarial Training Methods for Semi-Supervised Text ClassificationCode1
“Did you really mean what you said?” : Sarcasm Detection in Hindi-English Code-Mixed Data using Bilingual Word EmbeddingsCode1
DiLM: Distilling Dataset into Language Model for Text-level Dataset DistillationCode1
discopy: A Neural System for Shallow Discourse ParsingCode1
Dynamic Contextualized Word EmbeddingsCode1
Effective Seed-Guided Topic Discovery by Integrating Multiple Types of ContextsCode1
AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language ModelsCode1
Efficient Sentence Embedding via Semantic Subspace AnalysisCode1
ADEPT: A DEbiasing PrompT FrameworkCode1
A Source-Criticism Debiasing Method for GloVe EmbeddingsCode1
Show:102550
← PrevPage 2 of 81Next →

No leaderboard results yet.