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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 226–250 of 4002 papers

TitleStatusHype
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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