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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
Multimodal Word DistributionsCode1
Multi-Relational Embedding for Knowledge Graph Representation and AnalysisCode1
Null It Out: Guarding Protected Attributes by Iterative Nullspace ProjectionCode1
Nurse is Closer to Woman than Surgeon? Mitigating Gender-Biased Proximities in Word EmbeddingsCode1
OFA: A Framework of Initializing Unseen Subword Embeddings for Efficient Large-scale Multilingual Continued PretrainingCode1
On the Impact of Temporal Representations on Metaphor DetectionCode1
pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence InferenceCode1
Parallax: Visualizing and Understanding the Semantics of Embedding Spaces via Algebraic FormulaeCode1
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
Circumventing Concept Erasure Methods For Text-to-Image Generative ModelsCode1
Refinement of Unsupervised Cross-Lingual Word EmbeddingsCode1
ADEPT: A DEbiasing PrompT FrameworkCode1
Rethinking Stealthiness of Backdoor Attack against NLP ModelsCode1
Revisiting Language Encoding in Learning Multilingual RepresentationsCode1
Revisiting Simple Neural Probabilistic Language ModelsCode1
SA2SL: From Aspect-Based Sentiment Analysis to Social Listening System for Business IntelligenceCode1
SanskritShala: A Neural Sanskrit NLP Toolkit with Web-Based Interface for Pedagogical and Annotation PurposesCode1
Shortformer: Better Language Modeling using Shorter InputsCode1
Short Text Clustering via Convolutional Neural NetworksCode1
Simple, Interpretable and Stable Method for Detecting Words with Usage Change across CorporaCode1
Speech2Vec: A Sequence-to-Sequence Framework for Learning Word Embeddings from SpeechCode1
Structured Pruning of Large Language ModelsCode1
Supervised Learning of Universal Sentence Representations from Natural Language Inference DataCode1
The POLAR Framework: Polar Opposites Enable Interpretability of Pre-Trained Word EmbeddingsCode1
"This is my unicorn, Fluffy": Personalizing frozen vision-language representationsCode1
AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language ModelsCode1
Towards Debiasing Sentence RepresentationsCode1
Tracing Origins: Coreference-aware Machine Reading ComprehensionCode1
Cooperative Self-training of Machine Reading ComprehensionCode1
TU Wien @ TREC Deep Learning '19 -- Simple Contextualization for Re-rankingCode1
Two-Level Transformer and Auxiliary Coherence Modeling for Improved Text SegmentationCode1
UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System MetathesaurusCode1
Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence LearningCode1
FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input RepresentationsCode1
Unmasking Contextual Stereotypes: Measuring and Mitigating BERT’s Gender BiasCode1
Using Context-to-Vector with Graph Retrofitting to Improve Word EmbeddingsCode1
Adapting Text Embeddings for Causal InferenceCode1
Embarrassingly Simple Unsupervised Aspect ExtractionCode1
VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word RepresentationsCode1
Adversarial Training for Commonsense InferenceCode1
Visualizing and Measuring the Geometry of BERTCode1
Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot LearningCode1
What Do Questions Exactly Ask? MFAE: Duplicate Question Identification with Multi-Fusion Asking EmphasisCode1
A Dynamic Window Neural Network for CCG Supertagging—0
Adversarial Transfer Learning for Punctuation Restoration—0
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